Ribosomal_proteins.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ribosomal Protein Analysis "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Summary"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "General idea behind this project is to study the evolution of the ribosome on the structural level to better understand the rapid adaptive evolution that splits the 2 main lineages of life: Bacteria and Archea.\n",
    "\n",
    "\n",
    "Project plan:\n",
    "1. Construct a table of organisms (RefSeq; Bacteria, Archaea, Eucaryotes) by ribosomal protein - mark what is known, outline appropriate IDs (UniProt, RefSeq, PDB) and data\n",
    "2. Analyse outcomes to  pick the best ribosomal proteins for in-depth structural studies (computational and molecular) in terms of evolution\n",
    "\n",
    "\n",
    "\n",
    "Table of notebook contents:\n",
    "1. Summary \n",
    "2. Dependencies\n",
    "3. STEP 1: Protein data input\n",
    "4. STEP 2: DataFrame construction\n",
    "5. STEP 3: DataFrame statistics\n",
    "6. STEP 4: Creating a boxplot of protein lengths\n",
    "7. STEP 5: SIFTS to obtain 3D Structure data\n",
    "8. STEP 6: Merging ribosome_proteins and uniprot_pdb_map\n",
    "9. STEP 7: PDB Proteins characteristics\n",
    "10. STEP 8: Multiple 3D structure records selection\n",
    "11. STEP 9: Final selection \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Dependencies "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Necessary tools and packages to prepare:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import pickle\n",
    "import requests\n",
    "import io\n",
    "import numpy as np\n",
    "import seaborn\n",
    "import matplotlib.pyplot as plt\n",
    "import json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# STEP 1: Protein data input"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Below is the list of all query proteins we want to find in UniProt and retrieve to later put into our dataframe.\n",
    "Proteins selection is based on Phylosift Reference Marker Genes: https://phylosift.wordpress.com/tutorials/scripts-markers/\n",
    "\n",
    "Queries list is a list of appropriate entry names in UniProt."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "queries = ['l5-rple',\n",
    "           'l11-rplk',\n",
    "           's2-rpsb',\n",
    "           'rps2-rpsb',\n",
    "           'rp-s10',\n",
    "           'l1-rpla',\n",
    "           'rp-l22',\n",
    "           'l4 l1e',\n",
    "           'l2-rplb',\n",
    "           'rp-s9',\n",
    "           'l3-rplc',\n",
    "           'l14b-l23e',\n",
    "           's5',\n",
    "           's19-rpss',\n",
    "           's7-rpsg',\n",
    "           'l16 l10e',\n",
    "           's13-rpsm',\n",
    "           'rpl15',\n",
    "           'l23-rplw',\n",
    "           'l6-rplf',\n",
    "           'l11-rplk',\n",
    "           's12 s23',\n",
    "           'rpl29',\n",
    "           's3 rpsc',\n",
    "           's11 rpsk',\n",
    "           'rpl10',\n",
    "           'rps8',\n",
    "           'l18 l5e',\n",
    "           's15p s13e',\n",
    "           'rps17',\n",
    "           'rpl13',\n",
    "           'rpl24',\n",
    "           'l5-rple']\n",
    "results = {}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Query is sent to UniProt using RestAPI Services and requests package"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "l5-rple OK!\n",
      "l11-rplk OK!\n",
      "s2-rpsb OK!\n",
      "rps2-rpsb OK!\n",
      "rp-s10 OK!\n",
      "l1-rpla OK!\n",
      "rp-l22 OK!\n",
      "l4 l1e OK!\n",
      "l2-rplb OK!\n",
      "rp-s9 OK!\n",
      "l3-rplc OK!\n",
      "l14b-l23e OK!\n",
      "s5 OK!\n",
      "s19-rpss OK!\n",
      "s7-rpsg OK!\n",
      "l16 l10e OK!\n",
      "s13-rpsm OK!\n",
      "rpl15 OK!\n",
      "l23-rplw OK!\n",
      "l6-rplf OK!\n",
      "l11-rplk OK!\n",
      "s12 s23 OK!\n",
      "rpl29 OK!\n",
      "s3 rpsc OK!\n",
      "s11 rpsk OK!\n",
      "rpl10 OK!\n",
      "rps8 OK!\n",
      "l18 l5e OK!\n",
      "s15p s13e OK!\n",
      "rps17 OK!\n",
      "rpl13 OK!\n",
      "rpl24 OK!\n",
      "l5-rple OK!\n"
     ]
    }
   ],
   "source": [
    "for _query in queries:\n",
    "    baseURL = ('https://www.uniprot.org/uniprot/')\n",
    "    payload = {'query': 'name:\"%s\"+name:\"ribosomal\"' % (_query),\n",
    "               'format': 'tab',\n",
    "              'columns': 'id,entry_name,organism,protein_names,citation,families,lineage-id(all),length,lineage(KINGDOM)'}\n",
    "    result = requests.get(baseURL, params=payload)\n",
    "    if result.ok:\n",
    "        print ('%s OK!' % (_query))\n",
    "    else: print ('Something went wrong', result.status_code)\n",
    "    results[_query] = result"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The outcome we have is 'results'.\n",
    "Saving `results` as a pickle:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "fh = open('results.uniprot', 'wb')\n",
    "pickle.dump(results, fh)\n",
    "fh.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Loading `results` pickle:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "results = pickle.load(open('results.uniprot', 'rb'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Enumerating queries and parsing `results` to load them into a `pd.DataFrame`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 l5-rple\n",
      "1 l11-rplk\n",
      "2 s2-rpsb\n",
      "3 rps2-rpsb\n",
      "4 rp-s10\n",
      "5 l1-rpla\n",
      "6 rp-l22\n",
      "7 l4 l1e\n",
      "8 l2-rplb\n",
      "9 rp-s9\n",
      "10 l3-rplc\n",
      "11 l14b-l23e\n",
      "12 s5\n",
      "13 s19-rpss\n",
      "14 s7-rpsg\n",
      "15 l16 l10e\n",
      "16 s13-rpsm\n",
      "17 rpl15\n",
      "18 l23-rplw\n",
      "19 l6-rplf\n",
      "20 l11-rplk\n",
      "21 s12 s23\n",
      "22 rpl29\n",
      "23 s3 rpsc\n",
      "24 s11 rpsk\n",
      "25 rpl10\n",
      "26 rps8\n",
      "27 l18 l5e\n",
      "28 s15p s13e\n",
      "29 rps17\n",
      "30 rpl13\n",
      "31 rpl24\n",
      "32 l5-rple\n"
     ]
    }
   ],
   "source": [
    "for i, query in enumerate(queries):\n",
    "    print(i, query)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "rps2-rpsb nie sciagnelo sie dobrze\n",
      "rp-l22 nie sciagnelo sie dobrze\n",
      "s11 rpsk nie sciagnelo sie dobrze\n",
      "l18 l5e nie sciagnelo sie dobrze\n"
     ]
    }
   ],
   "source": [
    "# allocate an empty list of length = number of queries\n",
    "_df = [None] * len(queries)\n",
    "\n",
    "# loop over all queries and store the number of loop iteration as a variable `i`\n",
    "for i, query in enumerate(queries):\n",
    "    try:\n",
    "        # `io.StringIO` makes a str look like a file, so that we can read it into pandas - format conversion\n",
    "        _df[i] = pd.read_csv(io.StringIO(results[query].text), sep='\\t')\n",
    "        _df[i]['ribosome protein'] = query\n",
    "    except pd.errors.EmptyDataError:\n",
    "        print('%s nie sciagnelo sie dobrze' % query)     "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# STEP 2: DataFrame construction"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Merge per-query DataFrames into a single DataFrame with Pandas.concat function. The DataFrame is defined as `ribosome_proteins` and will be referred later on accordingly."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "ribosome_proteins = pd.concat(_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Describing a query criteria and filters for the DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Entry</th>\n",
       "      <th>Entry name</th>\n",
       "      <th>Organism</th>\n",
       "      <th>Protein names</th>\n",
       "      <th>PubMed ID</th>\n",
       "      <th>Protein families</th>\n",
       "      <th>Taxonomic lineage IDs (all)</th>\n",
       "      <th>Length</th>\n",
       "      <th>Taxonomic lineage (KINGDOM)</th>\n",
       "      <th>ribosome protein</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A0A075I9M5</td>\n",
       "      <td>A0A075I9M5_9ARCH</td>\n",
       "      <td>uncultured marine thaumarchaeote SAT1000_31_A02</td>\n",
       "      <td>Ribosomal protein L5P (RP-L5, rplE)</td>\n",
       "      <td>2.49233e+07</td>\n",
       "      <td>Universal ribosomal protein uL5 family</td>\n",
       "      <td>131567, 2157, 1783275, 651137, 651140, 1456404</td>\n",
       "      <td>165</td>\n",
       "      <td>NaN</td>\n",
       "      <td>l5-rple</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>A0A075IB71</td>\n",
       "      <td>A0A075IB71_9ARCH</td>\n",
       "      <td>uncultured marine thaumarchaeote SAT1000_22_C02</td>\n",
       "      <td>Ribosomal protein L5P (RP-L5, rplE)</td>\n",
       "      <td>2.49233e+07</td>\n",
       "      <td>Universal ribosomal protein uL5 family</td>\n",
       "      <td>131567, 2157, 1783275, 651137, 651140, 1456394</td>\n",
       "      <td>173</td>\n",
       "      <td>NaN</td>\n",
       "      <td>l5-rple</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>A0A075HPI5</td>\n",
       "      <td>A0A075HPI5_9ARCH</td>\n",
       "      <td>uncultured marine thaumarchaeote KM3_76_D06</td>\n",
       "      <td>Ribosomal protein L5P (RP-L5, rplE)</td>\n",
       "      <td>2.49233e+07</td>\n",
       "      <td>Universal ribosomal protein uL5 family</td>\n",
       "      <td>131567, 2157, 1783275, 651137, 651140, 1456284</td>\n",
       "      <td>153</td>\n",
       "      <td>NaN</td>\n",
       "      <td>l5-rple</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>A0A075FPU4</td>\n",
       "      <td>A0A075FPU4_9ARCH</td>\n",
       "      <td>uncultured marine thaumarchaeote AD1000_33_G09</td>\n",
       "      <td>Ribosomal protein L5P (RP-L5, rplE)</td>\n",
       "      <td>2.49233e+07</td>\n",
       "      <td>Universal ribosomal protein uL5 family</td>\n",
       "      <td>131567, 2157, 1783275, 651137, 651140, 1455909</td>\n",
       "      <td>170</td>\n",
       "      <td>NaN</td>\n",
       "      <td>l5-rple</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>A0A075HF78</td>\n",
       "      <td>A0A075HF78_9ARCH</td>\n",
       "      <td>uncultured marine thaumarchaeote KM3_69_H10</td>\n",
       "      <td>Ribosomal protein L5P (RP-L5, rplE)</td>\n",
       "      <td>2.49233e+07</td>\n",
       "      <td>Universal ribosomal protein uL5 family</td>\n",
       "      <td>131567, 2157, 1783275, 651137, 651140, 1456245</td>\n",
       "      <td>173</td>\n",
       "      <td>NaN</td>\n",
       "      <td>l5-rple</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>A0A075HI95</td>\n",
       "      <td>A0A075HI95_9ARCH</td>\n",
       "      <td>uncultured marine thaumarchaeote KM3_71_C08</td>\n",
       "      <td>Ribosomal protein L5P (RP-L5, rplE)</td>\n",
       "      <td>2.49233e+07</td>\n",
       "      <td>Universal ribosomal protein uL5 family</td>\n",
       "      <td>131567, 2157, 1783275, 651137, 651140, 1456257</td>\n",
       "      <td>173</td>\n",
       "      <td>NaN</td>\n",
       "      <td>l5-rple</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>A0A075FN88</td>\n",
       "      <td>A0A075FN88_9EURY</td>\n",
       "      <td>uncultured marine group II/III euryarchaeote A...</td>\n",
       "      <td>Ribosomal protein L5 (RP-L5, rplE)</td>\n",
       "      <td>2.49233e+07</td>\n",
       "      <td>Universal ribosomal protein uL5 family</td>\n",
       "      <td>131567, 2157, 28890, 68359, 1457711</td>\n",
       "      <td>175</td>\n",
       "      <td>NaN</td>\n",
       "      <td>l5-rple</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>A0A075GC27</td>\n",
       "      <td>A0A075GC27_9EURY</td>\n",
       "      <td>uncultured marine group II/III euryarchaeote K...</td>\n",
       "      <td>Ribosomal protein L5 (RP-L5, rplE)</td>\n",
       "      <td>2.49233e+07</td>\n",
       "      <td>Universal ribosomal protein uL5 family</td>\n",
       "      <td>131567, 2157, 28890, 68359, 1457879</td>\n",
       "      <td>168</td>\n",
       "      <td>NaN</td>\n",
       "      <td>l5-rple</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>A0A655FNP4</td>\n",
       "      <td>A0A655FNP4_MYCTX</td>\n",
       "      <td>Mycobacterium tuberculosis</td>\n",
       "      <td>50S ribosomal protein L5, RplE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Universal ribosomal protein uL5 family</td>\n",
       "      <td>131567, 2, 1783272, 201174, 1760, 85007, 1762,...</td>\n",
       "      <td>124</td>\n",
       "      <td>NaN</td>\n",
       "      <td>l5-rple</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>A0A075HKT5</td>\n",
       "      <td>A0A075HKT5_9ARCH</td>\n",
       "      <td>uncultured marine thaumarchaeote KM3_69_B11</td>\n",
       "      <td>Ribosomal protein L5P (RP-L5, rplE)</td>\n",
       "      <td>2.49233e+07</td>\n",
       "      <td>Universal ribosomal protein uL5 family</td>\n",
       "      <td>131567, 2157, 1783275, 651137, 651140, 1456244</td>\n",
       "      <td>173</td>\n",
       "      <td>NaN</td>\n",
       "      <td>l5-rple</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>38121 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Entry        Entry name  \\\n",
       "0   A0A075I9M5  A0A075I9M5_9ARCH   \n",
       "1   A0A075IB71  A0A075IB71_9ARCH   \n",
       "2   A0A075HPI5  A0A075HPI5_9ARCH   \n",
       "3   A0A075FPU4  A0A075FPU4_9ARCH   \n",
       "4   A0A075HF78  A0A075HF78_9ARCH   \n",
       "..         ...               ...   \n",
       "7   A0A075HI95  A0A075HI95_9ARCH   \n",
       "8   A0A075FN88  A0A075FN88_9EURY   \n",
       "9   A0A075GC27  A0A075GC27_9EURY   \n",
       "10  A0A655FNP4  A0A655FNP4_MYCTX   \n",
       "11  A0A075HKT5  A0A075HKT5_9ARCH   \n",
       "\n",
       "                                             Organism  \\\n",
       "0     uncultured marine thaumarchaeote SAT1000_31_A02   \n",
       "1     uncultured marine thaumarchaeote SAT1000_22_C02   \n",
       "2         uncultured marine thaumarchaeote KM3_76_D06   \n",
       "3      uncultured marine thaumarchaeote AD1000_33_G09   \n",
       "4         uncultured marine thaumarchaeote KM3_69_H10   \n",
       "..                                                ...   \n",
       "7         uncultured marine thaumarchaeote KM3_71_C08   \n",
       "8   uncultured marine group II/III euryarchaeote A...   \n",
       "9   uncultured marine group II/III euryarchaeote K...   \n",
       "10                         Mycobacterium tuberculosis   \n",
       "11        uncultured marine thaumarchaeote KM3_69_B11   \n",
       "\n",
       "                          Protein names    PubMed ID  \\\n",
       "0   Ribosomal protein L5P (RP-L5, rplE)  2.49233e+07   \n",
       "1   Ribosomal protein L5P (RP-L5, rplE)  2.49233e+07   \n",
       "2   Ribosomal protein L5P (RP-L5, rplE)  2.49233e+07   \n",
       "3   Ribosomal protein L5P (RP-L5, rplE)  2.49233e+07   \n",
       "4   Ribosomal protein L5P (RP-L5, rplE)  2.49233e+07   \n",
       "..                                  ...          ...   \n",
       "7   Ribosomal protein L5P (RP-L5, rplE)  2.49233e+07   \n",
       "8    Ribosomal protein L5 (RP-L5, rplE)  2.49233e+07   \n",
       "9    Ribosomal protein L5 (RP-L5, rplE)  2.49233e+07   \n",
       "10       50S ribosomal protein L5, RplE          NaN   \n",
       "11  Ribosomal protein L5P (RP-L5, rplE)  2.49233e+07   \n",
       "\n",
       "                          Protein families  \\\n",
       "0   Universal ribosomal protein uL5 family   \n",
       "1   Universal ribosomal protein uL5 family   \n",
       "2   Universal ribosomal protein uL5 family   \n",
       "3   Universal ribosomal protein uL5 family   \n",
       "4   Universal ribosomal protein uL5 family   \n",
       "..                                     ...   \n",
       "7   Universal ribosomal protein uL5 family   \n",
       "8   Universal ribosomal protein uL5 family   \n",
       "9   Universal ribosomal protein uL5 family   \n",
       "10  Universal ribosomal protein uL5 family   \n",
       "11  Universal ribosomal protein uL5 family   \n",
       "\n",
       "                          Taxonomic lineage IDs (all)  Length  \\\n",
       "0      131567, 2157, 1783275, 651137, 651140, 1456404     165   \n",
       "1      131567, 2157, 1783275, 651137, 651140, 1456394     173   \n",
       "2      131567, 2157, 1783275, 651137, 651140, 1456284     153   \n",
       "3      131567, 2157, 1783275, 651137, 651140, 1455909     170   \n",
       "4      131567, 2157, 1783275, 651137, 651140, 1456245     173   \n",
       "..                                                ...     ...   \n",
       "7      131567, 2157, 1783275, 651137, 651140, 1456257     173   \n",
       "8                 131567, 2157, 28890, 68359, 1457711     175   \n",
       "9                 131567, 2157, 28890, 68359, 1457879     168   \n",
       "10  131567, 2, 1783272, 201174, 1760, 85007, 1762,...     124   \n",
       "11     131567, 2157, 1783275, 651137, 651140, 1456244     173   \n",
       "\n",
       "   Taxonomic lineage (KINGDOM) ribosome protein  \n",
       "0                          NaN          l5-rple  \n",
       "1                          NaN          l5-rple  \n",
       "2                          NaN          l5-rple  \n",
       "3                          NaN          l5-rple  \n",
       "4                          NaN          l5-rple  \n",
       "..                         ...              ...  \n",
       "7                          NaN          l5-rple  \n",
       "8                          NaN          l5-rple  \n",
       "9                          NaN          l5-rple  \n",
       "10                         NaN          l5-rple  \n",
       "11                         NaN          l5-rple  \n",
       "\n",
       "[38121 rows x 10 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ribosome_proteins[ (ribosome_proteins['Length'] < 200)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# STEP 3: DataFrame Statistics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To analyse constructed dataframe and develop statistical description, we can use Python built-in functions such as mean,  std or counts. Append method is used to add and apply statistical function to our already created `ribosome_proteins` dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "means = []\n",
    "stds = []\n",
    "counts = []\n",
    "for query in queries:\n",
    "    means.append(ribosome_proteins[(ribosome_proteins['ribosome protein'] == query)]['Length'].mean())\n",
    "    stds.append(ribosome_proteins[(ribosome_proteins['ribosome protein'] == query)]['Length'].std())\n",
    "    counts.append(len(ribosome_proteins[(ribosome_proteins['ribosome protein'] == query)]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After applying statistical functions, we summarize the output in a table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>query</th>\n",
       "      <th>mean</th>\n",
       "      <th>std dev</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>l5-rple</td>\n",
       "      <td>166.000000</td>\n",
       "      <td>14.191240</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>l11-rplk</td>\n",
       "      <td>92.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>s2-rpsb</td>\n",
       "      <td>168.750000</td>\n",
       "      <td>48.774295</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>rps2-rpsb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>rp-s10</td>\n",
       "      <td>93.500000</td>\n",
       "      <td>16.263456</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>l1-rpla</td>\n",
       "      <td>96.000000</td>\n",
       "      <td>8.485281</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>rp-l22</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>l4 l1e</td>\n",
       "      <td>283.652632</td>\n",
       "      <td>98.147064</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>l2-rplb</td>\n",
       "      <td>215.857143</td>\n",
       "      <td>61.866600</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>rp-s9</td>\n",
       "      <td>145.500000</td>\n",
       "      <td>5.196152</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>l3-rplc</td>\n",
       "      <td>258.058824</td>\n",
       "      <td>119.302908</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>l14b-l23e</td>\n",
       "      <td>131.652174</td>\n",
       "      <td>22.842026</td>\n",
       "      <td>184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>s5</td>\n",
       "      <td>191.584937</td>\n",
       "      <td>67.667746</td>\n",
       "      <td>51638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>s19-rpss</td>\n",
       "      <td>98.250000</td>\n",
       "      <td>47.422744</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>s7-rpsg</td>\n",
       "      <td>199.416667</td>\n",
       "      <td>10.999656</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>l16 l10e</td>\n",
       "      <td>164.728814</td>\n",
       "      <td>127.270528</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>s13-rpsm</td>\n",
       "      <td>130.750000</td>\n",
       "      <td>67.623344</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>rpl15</td>\n",
       "      <td>174.321429</td>\n",
       "      <td>81.480311</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>l23-rplw</td>\n",
       "      <td>89.500000</td>\n",
       "      <td>3.674235</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>l6-rplf</td>\n",
       "      <td>184.714286</td>\n",
       "      <td>0.755929</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>l11-rplk</td>\n",
       "      <td>92.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>s12 s23</td>\n",
       "      <td>165.457944</td>\n",
       "      <td>110.057158</td>\n",
       "      <td>214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>rpl29</td>\n",
       "      <td>722.904762</td>\n",
       "      <td>298.420158</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>s3 rpsc</td>\n",
       "      <td>201.333333</td>\n",
       "      <td>63.121576</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>s11 rpsk</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>rpl10</td>\n",
       "      <td>194.320988</td>\n",
       "      <td>42.222277</td>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>rps8</td>\n",
       "      <td>174.695652</td>\n",
       "      <td>201.282577</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>l18 l5e</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>s15p s13e</td>\n",
       "      <td>92.523490</td>\n",
       "      <td>34.536229</td>\n",
       "      <td>149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>rps17</td>\n",
       "      <td>141.469697</td>\n",
       "      <td>39.516392</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>rpl13</td>\n",
       "      <td>171.837838</td>\n",
       "      <td>78.421409</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>rpl24</td>\n",
       "      <td>248.078947</td>\n",
       "      <td>165.206357</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>l5-rple</td>\n",
       "      <td>166.000000</td>\n",
       "      <td>14.191240</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        query        mean     std dev  count\n",
       "0     l5-rple  166.000000   14.191240     24\n",
       "1    l11-rplk   92.000000    0.000000      6\n",
       "2     s2-rpsb  168.750000   48.774295     12\n",
       "3   rps2-rpsb         NaN         NaN      0\n",
       "4      rp-s10   93.500000   16.263456      2\n",
       "5     l1-rpla   96.000000    8.485281      2\n",
       "6      rp-l22         NaN         NaN      0\n",
       "7      l4 l1e  283.652632   98.147064     95\n",
       "8     l2-rplb  215.857143   61.866600      7\n",
       "9       rp-s9  145.500000    5.196152      4\n",
       "10    l3-rplc  258.058824  119.302908     17\n",
       "11  l14b-l23e  131.652174   22.842026    184\n",
       "12         s5  191.584937   67.667746  51638\n",
       "13   s19-rpss   98.250000   47.422744      4\n",
       "14    s7-rpsg  199.416667   10.999656     12\n",
       "15   l16 l10e  164.728814  127.270528     59\n",
       "16   s13-rpsm  130.750000   67.623344      4\n",
       "17      rpl15  174.321429   81.480311     28\n",
       "18   l23-rplw   89.500000    3.674235      6\n",
       "19    l6-rplf  184.714286    0.755929      7\n",
       "20   l11-rplk   92.000000    0.000000      6\n",
       "21    s12 s23  165.457944  110.057158    214\n",
       "22      rpl29  722.904762  298.420158     21\n",
       "23    s3 rpsc  201.333333   63.121576      3\n",
       "24   s11 rpsk         NaN         NaN      0\n",
       "25      rpl10  194.320988   42.222277     81\n",
       "26       rps8  174.695652  201.282577     23\n",
       "27    l18 l5e         NaN         NaN      0\n",
       "28  s15p s13e   92.523490   34.536229    149\n",
       "29      rps17  141.469697   39.516392     66\n",
       "30      rpl13  171.837838   78.421409     37\n",
       "31      rpl24  248.078947  165.206357     76\n",
       "32    l5-rple  166.000000   14.191240     24"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame({'query': queries, 'mean': means, 'std dev': stds, 'count': counts})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# STEP 4: Creating a Boxplot that shows protein lengths "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To visualise data from `ribosome_proteins` DataFrame and compare lengths, we can create a boxplot. Thanks to that, it is possible to check if there are any outstanding variations and if so, identify them easily. To create a plot, seaborn package is used."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# length boxplot of each protein\n",
    "# boxplot(x=\"day\", y=\"total_bill\", data=tips)\n",
    "plt.figure(figsize=(20, 8))\n",
    "plt.xticks(rotation=45, size=15)\n",
    "# font size for X i Y\n",
    "\n",
    "#logarithmic scale\n",
    "plt.yscale(\"log\")\n",
    "p = seaborn.boxplot(data=ribosome_proteins, y='Length', x='ribosome protein')\n",
    "p.axes.set_title(\"Protein lengths boxplot\", fontsize=20)\n",
    "p.set_xlabel(\"r-protein name\", fontsize=20)\n",
    "p.set_ylabel('Length [aa]', fontsize=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "27"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(ribosome_proteins['ribosome protein'].unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# STEP 5: SIFTS to obtain 3D structure data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this step, we are downloading 3D Structure data of analyzed proteins using SIFTS. \n",
    "The Structure Integration with Function, Taxonomy and Sequences resource (SIFTS; http://pdbe.org/sifts) is a collaboration between the Protein Data Bank in Europe (PDBe) and UniProt database and other biological resources. Downloading SIFTS in order to get a cross-reference between the PDB and entries present in UniProt. \n",
    "\n",
    "The first function used is GNU Wget, which is a free utility for non-interactive download of files from the Web. It supports HTTP, HTTPS, and FTP protocols, as well as retrieval through HTTP proxies."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--2021-01-28 12:43:26--  ftp://ftp.ebi.ac.uk/pub/databases/msd/sifts/flatfiles/tsv/uniprot_pdb.tsv.gz\n",
      "           => ‘uniprot_pdb.tsv.gz’\n",
      "Resolving ftp.ebi.ac.uk (ftp.ebi.ac.uk)... 193.62.193.138\n",
      "Connecting to ftp.ebi.ac.uk (ftp.ebi.ac.uk)|193.62.193.138|:21... connected.\n",
      "Logging in as anonymous ... Logged in!\n",
      "==> SYST ... done.    ==> PWD ... done.\n",
      "==> TYPE I ... done.  ==> CWD (1) /pub/databases/msd/sifts/flatfiles/tsv ... done.\n",
      "==> SIZE uniprot_pdb.tsv.gz ... 784339\n",
      "==> PASV ... done.    ==> RETR uniprot_pdb.tsv.gz ... done.\n",
      "Length: 784339 (766K) (unauthoritative)\n",
      "\n",
      "uniprot_pdb.tsv.gz  100%[===================>] 765.96K   724KB/s    in 1.1s    \n",
      "\n",
      "2021-01-28 12:43:28 (724 KB/s) - ‘uniprot_pdb.tsv.gz’ saved [784339]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "!wget ftp://ftp.ebi.ac.uk/pub/databases/msd/sifts/flatfiles/tsv/uniprot_pdb.tsv.gz"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After we obtained 3D protein structure data, another dataframe is created to gather downloaded content. It is defined as `uniprot_pdb_map` and is a direct conversion from tsv file using Pandas.read function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "!gunzip uniprot_pdb.tsv.gz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "uniprot_pdb_map = pd.read_csv('uniprot_pdb.tsv', sep=\"\\t\", comment='#')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SP_PRIMARY</th>\n",
       "      <th>PDB</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A0A003</td>\n",
       "      <td>6kvc</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>A0A009QSN8</td>\n",
       "      <td>6v39;6v3a;6v3b;6v3d</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>A0A011</td>\n",
       "      <td>3vk5;3vka;3vkb;3vkc;3vkd</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>A0A014C6J9</td>\n",
       "      <td>6br7</td>\n",
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       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>53429</th>\n",
       "      <td>X5KVH4</td>\n",
       "      <td>6mfk</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53430</th>\n",
       "      <td>X6Q997</td>\n",
       "      <td>6lk2;6lla</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53431</th>\n",
       "      <td>X7XZL2</td>\n",
       "      <td>6q09;6tyj;6u3l</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53432</th>\n",
       "      <td>X7YCN8</td>\n",
       "      <td>5vba</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53433</th>\n",
       "      <td>X8CHM4</td>\n",
       "      <td>5o5k;5o5l</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>53434 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       SP_PRIMARY                                                PDB\n",
       "0          A0A003                                               6kvc\n",
       "1      A0A009QSN8                                6v39;6v3a;6v3b;6v3d\n",
       "2          A0A010  5b00;5b01;5b02;5b03;5b0i;5b0j;5b0k;5b0l;5b0m;5...\n",
       "3          A0A011                           3vk5;3vka;3vkb;3vkc;3vkd\n",
       "4      A0A014C6J9                                               6br7\n",
       "...           ...                                                ...\n",
       "53429      X5KVH4                                               6mfk\n",
       "53430      X6Q997                                          6lk2;6lla\n",
       "53431      X7XZL2                                     6q09;6tyj;6u3l\n",
       "53432      X7YCN8                                               5vba\n",
       "53433      X8CHM4                                          5o5k;5o5l\n",
       "\n",
       "[53434 rows x 2 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "uniprot_pdb_map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Entry', 'Entry name', 'Organism', 'Protein names', 'PubMed ID',\n",
       "       'Protein families', 'Taxonomic lineage IDs (all)', 'Length',\n",
       "       'Taxonomic lineage (KINGDOM)', 'ribosome protein'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ribosome_proteins.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['SP_PRIMARY', 'PDB'], dtype='object')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "uniprot_pdb_map.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# STEP 6: Merging ribosome_proteins and uniprot_pdb_map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Merge allows us to compare two dataframes and match appropriate rows with each other to identify proteins with 3D structures so in this step we are combining two existing dataframes we have: `ribosome_proteins` and `uniprot_pdb_map` using Pandas.merge tool"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "pdb_merge = pd.merge(ribosome_proteins, uniprot_pdb_map, left_on='Entry', right_on='SP_PRIMARY', how=\"left\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Entry</th>\n",
       "      <th>Entry name</th>\n",
       "      <th>Organism</th>\n",
       "      <th>Protein names</th>\n",
       "      <th>PubMed ID</th>\n",
       "      <th>Protein families</th>\n",
       "      <th>Taxonomic lineage IDs (all)</th>\n",
       "      <th>Length</th>\n",
       "      <th>Taxonomic lineage (KINGDOM)</th>\n",
       "      <th>ribosome protein</th>\n",
       "      <th>SP_PRIMARY</th>\n",
       "      <th>PDB</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A0A075I9M5</td>\n",
       "      <td>A0A075I9M5_9ARCH</td>\n",
       "      <td>uncultured marine thaumarchaeote SAT1000_31_A02</td>\n",
       "      <td>Ribosomal protein L5P (RP-L5, rplE)</td>\n",
       "      <td>2.49233e+07</td>\n",
       "      <td>Universal ribosomal protein uL5 family</td>\n",
       "      <td>131567, 2157, 1783275, 651137, 651140, 1456404</td>\n",
       "      <td>165</td>\n",
       "      <td>NaN</td>\n",
       "      <td>l5-rple</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>A0A075IB71</td>\n",
       "      <td>A0A075IB71_9ARCH</td>\n",
       "      <td>uncultured marine thaumarchaeote SAT1000_22_C02</td>\n",
       "      <td>Ribosomal protein L5P (RP-L5, rplE)</td>\n",
       "      <td>2.49233e+07</td>\n",
       "      <td>Universal ribosomal protein uL5 family</td>\n",
       "      <td>131567, 2157, 1783275, 651137, 651140, 1456394</td>\n",
       "      <td>173</td>\n",
       "      <td>NaN</td>\n",
       "      <td>l5-rple</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>A0A075HPI5</td>\n",
       "      <td>A0A075HPI5_9ARCH</td>\n",
       "      <td>uncultured marine thaumarchaeote KM3_76_D06</td>\n",
       "      <td>Ribosomal protein L5P (RP-L5, rplE)</td>\n",
       "      <td>2.49233e+07</td>\n",
       "      <td>Universal ribosomal protein uL5 family</td>\n",
       "      <td>131567, 2157, 1783275, 651137, 651140, 1456284</td>\n",
       "      <td>153</td>\n",
       "      <td>NaN</td>\n",
       "      <td>l5-rple</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>A0A075FPU4</td>\n",
       "      <td>A0A075FPU4_9ARCH</td>\n",
       "      <td>uncultured marine thaumarchaeote AD1000_33_G09</td>\n",
       "      <td>Ribosomal protein L5P (RP-L5, rplE)</td>\n",
       "      <td>2.49233e+07</td>\n",
       "      <td>Universal ribosomal protein uL5 family</td>\n",
       "      <td>131567, 2157, 1783275, 651137, 651140, 1455909</td>\n",
       "      <td>170</td>\n",
       "      <td>NaN</td>\n",
       "      <td>l5-rple</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>A0A075HF78</td>\n",
       "      <td>A0A075HF78_9ARCH</td>\n",
       "      <td>uncultured marine thaumarchaeote KM3_69_H10</td>\n",
       "      <td>Ribosomal protein L5P (RP-L5, rplE)</td>\n",
       "      <td>2.49233e+07</td>\n",
       "      <td>Universal ribosomal protein uL5 family</td>\n",
       "      <td>131567, 2157, 1783275, 651137, 651140, 1456245</td>\n",
       "      <td>173</td>\n",
       "      <td>NaN</td>\n",
       "      <td>l5-rple</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Entry        Entry name  \\\n",
       "0  A0A075I9M5  A0A075I9M5_9ARCH   \n",
       "1  A0A075IB71  A0A075IB71_9ARCH   \n",
       "2  A0A075HPI5  A0A075HPI5_9ARCH   \n",
       "3  A0A075FPU4  A0A075FPU4_9ARCH   \n",
       "4  A0A075HF78  A0A075HF78_9ARCH   \n",
       "\n",
       "                                          Organism  \\\n",
       "0  uncultured marine thaumarchaeote SAT1000_31_A02   \n",
       "1  uncultured marine thaumarchaeote SAT1000_22_C02   \n",
       "2      uncultured marine thaumarchaeote KM3_76_D06   \n",
       "3   uncultured marine thaumarchaeote AD1000_33_G09   \n",
       "4      uncultured marine thaumarchaeote KM3_69_H10   \n",
       "\n",
       "                         Protein names    PubMed ID  \\\n",
       "0  Ribosomal protein L5P (RP-L5, rplE)  2.49233e+07   \n",
       "1  Ribosomal protein L5P (RP-L5, rplE)  2.49233e+07   \n",
       "2  Ribosomal protein L5P (RP-L5, rplE)  2.49233e+07   \n",
       "3  Ribosomal protein L5P (RP-L5, rplE)  2.49233e+07   \n",
       "4  Ribosomal protein L5P (RP-L5, rplE)  2.49233e+07   \n",
       "\n",
       "                         Protein families  \\\n",
       "0  Universal ribosomal protein uL5 family   \n",
       "1  Universal ribosomal protein uL5 family   \n",
       "2  Universal ribosomal protein uL5 family   \n",
       "3  Universal ribosomal protein uL5 family   \n",
       "4  Universal ribosomal protein uL5 family   \n",
       "\n",
       "                      Taxonomic lineage IDs (all)  Length  \\\n",
       "0  131567, 2157, 1783275, 651137, 651140, 1456404     165   \n",
       "1  131567, 2157, 1783275, 651137, 651140, 1456394     173   \n",
       "2  131567, 2157, 1783275, 651137, 651140, 1456284     153   \n",
       "3  131567, 2157, 1783275, 651137, 651140, 1455909     170   \n",
       "4  131567, 2157, 1783275, 651137, 651140, 1456245     173   \n",
       "\n",
       "  Taxonomic lineage (KINGDOM) ribosome protein SP_PRIMARY  PDB  \n",
       "0                         NaN          l5-rple        NaN  NaN  \n",
       "1                         NaN          l5-rple        NaN  NaN  \n",
       "2                         NaN          l5-rple        NaN  NaN  \n",
       "3                         NaN          l5-rple        NaN  NaN  \n",
       "4                         NaN          l5-rple        NaN  NaN  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pdb_merge.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "List of ribosome proteins from ribosome_proteins DataFrame that have 3D structures in PDB"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# STEP 7: PDB proteins characteristics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Developing DataFrame with characteristics of the selected 3D structure proteins for further analysis. This dataframe is described as `pdb_subset` and is later referred as such"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Entry</th>\n",
       "      <th>ribosome protein</th>\n",
       "      <th>PDB</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>P0A7W2</td>\n",
       "      <td>s5</td>\n",
       "      <td>4v48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>P27152</td>\n",
       "      <td>s5</td>\n",
       "      <td>6c5l</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>P02357</td>\n",
       "      <td>s5</td>\n",
       "      <td>1dv4;1pkp;1qd7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>A2RNN6</td>\n",
       "      <td>s5</td>\n",
       "      <td>5myj</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>P19954</td>\n",
       "      <td>s5</td>\n",
       "      <td>5mmj;5mmm;5x8p;5x8r;6eri</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>A0A045JKV0</td>\n",
       "      <td>s5</td>\n",
       "      <td>5v93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>C3SR27</td>\n",
       "      <td>s5</td>\n",
       "      <td>6ysr;6yss;6yst;6ysu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>A0A6A5PUZ5</td>\n",
       "      <td>rpl10</td>\n",
       "      <td>6xiq;6xir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>E6PBT5</td>\n",
       "      <td>rps17</td>\n",
       "      <td>4bts</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>A0A6A5PY83</td>\n",
       "      <td>rpl24</td>\n",
       "      <td>6xiq;6xir</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>68 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Entry ribosome protein                       PDB\n",
       "0       P0A7W2               s5                      4v48\n",
       "1       P27152               s5                      6c5l\n",
       "2       P02357               s5            1dv4;1pkp;1qd7\n",
       "3       A2RNN6               s5                      5myj\n",
       "4       P19954               s5  5mmj;5mmm;5x8p;5x8r;6eri\n",
       "..         ...              ...                       ...\n",
       "63  A0A045JKV0               s5                      5v93\n",
       "64      C3SR27               s5       6ysr;6yss;6yst;6ysu\n",
       "65  A0A6A5PUZ5            rpl10                 6xiq;6xir\n",
       "66      E6PBT5            rps17                      4bts\n",
       "67  A0A6A5PY83            rpl24                 6xiq;6xir\n",
       "\n",
       "[68 rows x 3 columns]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pdb_subset = pdb_merge.dropna(subset=['PDB']).reset_index(drop=True)\n",
    "pdb_subset[['Entry',\n",
    "           'ribosome protein',\n",
    "           'PDB']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(52781, 12)"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pdb_merge.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "pdb_singletons = pdb_merge[pdb_merge['PDB'].str.split(';').str.len()==1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By filtering `pdb_subset` we can display names of organisms that a protein, with known PDB structure, originates from"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Organism</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Escherichia coli O6:H1 (strain CFT073 / ATCC 7...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Thermus thermophilus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Geobacillus stearothermophilus (Bacillus stear...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Lactococcus lactis subsp. cremoris (strain MG1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Spinacia oleracea (Spinach)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>Mycobacterium tuberculosis</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>Escherichia coli</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>Saccharomyces cerevisiae (Baker's yeast)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>Tetrahymena thermophila</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Saccharomyces cerevisiae (Baker's yeast)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>68 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             Organism\n",
       "0   Escherichia coli O6:H1 (strain CFT073 / ATCC 7...\n",
       "1                                Thermus thermophilus\n",
       "2   Geobacillus stearothermophilus (Bacillus stear...\n",
       "3   Lactococcus lactis subsp. cremoris (strain MG1...\n",
       "4                         Spinacia oleracea (Spinach)\n",
       "..                                                ...\n",
       "63                         Mycobacterium tuberculosis\n",
       "64                                   Escherichia coli\n",
       "65           Saccharomyces cerevisiae (Baker's yeast)\n",
       "66                            Tetrahymena thermophila\n",
       "67           Saccharomyces cerevisiae (Baker's yeast)\n",
       "\n",
       "[68 rows x 1 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pdb_subset[['Organism']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "List of Organisms:  ['Escherichia coli O6:H1 (strain CFT073 / ATCC 700928 / UPEC)'\n",
      " 'Thermus thermophilus'\n",
      " 'Geobacillus stearothermophilus (Bacillus stearothermophilus)'\n",
      " 'Lactococcus lactis subsp. cremoris (strain MG1363)'\n",
      " 'Spinacia oleracea (Spinach)' 'Escherichia coli O157:H7'\n",
      " 'Thermus thermophilus (strain HB8 / ATCC 27634 / DSM 579)'\n",
      " 'Bos taurus (Bovine)' 'Bacillus subtilis (strain 168)'\n",
      " 'Thermus thermophilus (strain HB27 / ATCC BAA-163 / DSM 7039)'\n",
      " 'Drosophila melanogaster (Fruit fly)'\n",
      " 'Acinetobacter baumannii (strain AB0057)'\n",
      " 'Thermococcus kodakarensis (strain ATCC BAA-918 / JCM 12380 / KOD1) (Pyrococcus kodakaraensis (strain KOD1))'\n",
      " 'Homo sapiens (Human)'\n",
      " 'Staphylococcus aureus (strain bovine RF122 / ET3-1)'\n",
      " 'Escherichia coli (strain K12)'\n",
      " 'Staphylococcus aureus (strain NCTC 8325 / PS 47)'\n",
      " 'Neurospora crassa (strain ATCC 24698 / 74-OR23-1A / CBS 708.71 / DSM 1257 / FGSC 987)'\n",
      " \"Saccharomyces cerevisiae (strain ATCC 204508 / S288c) (Baker's yeast)\"\n",
      " 'Pyrococcus abyssi (strain GE5 / Orsay)'\n",
      " 'Pyrococcus furiosus (strain ATCC 43587 / DSM 3638 / JCM 8422 / Vc1)'\n",
      " 'Mycolicibacterium smegmatis (strain ATCC 700084 / mc(2)155) (Mycobacterium smegmatis)'\n",
      " 'Escherichia coli (strain SE11)' 'Escherichia coli 2-427-07_S4_C3'\n",
      " 'Sus scrofa (Pig)'\n",
      " 'Acinetobacter baumannii (strain ATCC 19606 / DSM 30007 / CIP 70.34 / JCM 6841 / NBRC 109757 / NCIMB 12457 / NCTC 12156 / 81)'\n",
      " 'Pseudomonas aeruginosa' 'Staphylococcus aureus'\n",
      " 'Enterococcus faecalis (Streptococcus faecalis)'\n",
      " 'Trypanosoma brucei brucei (strain 927/4 GUTat10.1)'\n",
      " 'Flavobacterium johnsoniae (Cytophaga johnsonae)' 'Escherichia coli M718'\n",
      " 'Escherichia coli 1-250-04_S3_C2'\n",
      " 'Tetrahymena thermophila (strain SB210)'\n",
      " 'Aliivibrio fischeri (strain ATCC 700601 / ES114) (Vibrio fischeri)'\n",
      " 'Clostridium acetobutylicum (strain ATCC 824 / DSM 792 / JCM 1419 / LMG 5710 / VKM B-1787)'\n",
      " 'Arabidopsis thaliana (Mouse-ear cress)' 'Oryctolagus cuniculus (Rabbit)'\n",
      " 'Escherichia coli H420' 'Escherichia coli DEC1D' 'Trichomonas vaginalis'\n",
      " 'Toxoplasma gondii (strain ATCC 50861 / VEG)'\n",
      " 'Trypanosoma cruzi (strain CL Brener)' 'Leishmania major'\n",
      " 'Escherichia coli' 'Escherichia coli H736' 'Escherichia coli MS 69-1'\n",
      " \"Saccharomyces cerevisiae (Baker's yeast)\" 'Neurospora crassa'\n",
      " 'Leishmania infantum' 'Thermococcus celer Vu 13 = JCM 8558'\n",
      " 'Chaetomium thermophilum (strain DSM 1495 / CBS 144.50 / IMI 039719)'\n",
      " 'Plasmodium falciparum (isolate 3D7)' 'Mycobacterium tuberculosis'\n",
      " 'Tetrahymena thermophila']\n",
      "Type of listOfOrganisms:  <class 'numpy.ndarray'>\n"
     ]
    }
   ],
   "source": [
    "list_of_organisms = pdb_subset['Organism'].unique()\n",
    "print('List of Organisms: ', list_of_organisms)\n",
    "print('Type of listOfOrganisms: ', type(list_of_organisms))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Other filtering can be also performed. Below we display entry names of proteins that have 3D structures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "List of Proteins:  ['s5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 's5', 'rpl10', 'rps17', 'rpl24']\n",
      "Type of listOfProteins:  <class 'list'>\n"
     ]
    }
   ],
   "source": [
    "list_of_proteins = pdb_subset['ribosome protein'].to_list()\n",
    "print('List of Proteins: ', list_of_proteins)\n",
    "print('Type of listOfProteins: ', type(list_of_proteins))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The count of protein: s5 is  65\n",
      "The count of protein: rps17 is  1\n"
     ]
    }
   ],
   "source": [
    "name_count = list_of_proteins.count('s5')\n",
    "name_count1 = list_of_proteins.count('rps17')\n",
    "print('The count of protein: s5 is ', name_count)\n",
    "print('The count of protein: rps17 is ', name_count1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6ywe;6ywy                                                                                                                                                                                                                                                                                                                                                                                                                                                            2\n",
       "3j7a;3jbn;3jbo;3jbp;6okk                                                                                                                                                                                                                                                                                                                                                                                                                                             2\n",
       "6xiq;6xir                                                                                                                                                                                                                                                                                                                                                                                                                                                            2\n",
       "6yw5;6ywx                                                                                                                                                                                                                                                                                                                                                                                                                                                            2\n",
       "5wf0;5wfs;6awb;6awc;6awd                                                                                                                                                                                                                                                                                                                                                                                                                                             1\n",
       "                                                                                                                                                                                                                                                                                                                                                                                                                                                                    ..\n",
       "2noq;3j6x;3j6y;3j77;3j78;4u3m;4u3n;4u3u;4u4n;4u4o;4u4q;4u4r;4u4u;4u4y;4u4z;4u50;4u51;4u52;4u53;4u55;4u56;4u6f;4v4b;4v6i;4v7r;4v88;4v8y;4v8z;5dat;5dc3;5dge;5dgf;5dgv;5fci;5fcj;5i4l;5jpq;5juo;5jup;5jus;5jut;5juu;5lyb;5m1j;5mc6;5mei;5ndg;5ndv;5ndw;5obm;5on6;5tbw;5tga;5tgm;5tzs;5wyj;5wyk;6eml;6fai;6gq1;6gqb;6gqv;6hhq;6i7o;6ke6;6lqp;6lqq;6lqr;6lqs;6lqt;6lqu;6lqv;6rbd;6rbe;6snt;6wdr;6y7c;6z6j;6zce;6zqa;6zqb;6zqc;6zqe;6zqf;6zqg;6zu9;6zvi;7a1g;7ajt;7aju    1\n",
       "6lkq;6vz7                                                                                                                                                                                                                                                                                                                                                                                                                                                            1\n",
       "5v93                                                                                                                                                                                                                                                                                                                                                                                                                                                                 1\n",
       "3j7p;3j7r                                                                                                                                                                                                                                                                                                                                                                                                                                                            1\n",
       "6ypu;6yt9                                                                                                                                                                                                                                                                                                                                                                                                                                                            1\n",
       "Name: PDB, Length: 64, dtype: int64"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "v = pdb_subset.PDB.value_counts()\n",
    "v"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Below we filter `pdb_subset` frame to view only proteins with more than one PDB value in 'PDB' column "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Entry</th>\n",
       "      <th>Entry name</th>\n",
       "      <th>Organism</th>\n",
       "      <th>Protein names</th>\n",
       "      <th>PubMed ID</th>\n",
       "      <th>Protein families</th>\n",
       "      <th>Taxonomic lineage IDs (all)</th>\n",
       "      <th>Length</th>\n",
       "      <th>Taxonomic lineage (KINGDOM)</th>\n",
       "      <th>ribosome protein</th>\n",
       "      <th>SP_PRIMARY</th>\n",
       "      <th>PDB</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>P02357</td>\n",
       "      <td>RS5_GEOSE</td>\n",
       "      <td>Geobacillus stearothermophilus (Bacillus stear...</td>\n",
       "      <td>30S ribosomal protein S5 (BS5) (BS6)</td>\n",
       "      <td>6363400; 1985969; 4607606; 2254291; 1508272; 9...</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2, 1783272, 1239, 91061, 1385, 186817,...</td>\n",
       "      <td>166</td>\n",
       "      <td>NaN</td>\n",
       "      <td>s5</td>\n",
       "      <td>P02357</td>\n",
       "      <td>1dv4;1pkp;1qd7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>P19954</td>\n",
       "      <td>PRSP1_SPIOL</td>\n",
       "      <td>Spinacia oleracea (Spinach)</td>\n",
       "      <td>Ribosome-binding factor PSRP1, chloroplastic (...</td>\n",
       "      <td>2693942; 2259340; 2376575; 1731992; 24352233; ...</td>\n",
       "      <td>HPF/YfiA ribosome-associated protein family, L...</td>\n",
       "      <td>131567, 2759, 33090, 35493, 131221, 3193, 5802...</td>\n",
       "      <td>302</td>\n",
       "      <td>Viridiplantae</td>\n",
       "      <td>s5</td>\n",
       "      <td>P19954</td>\n",
       "      <td>5mmj;5mmm;5x8p;5x8r;6eri</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>P0A7W3</td>\n",
       "      <td>RS5_ECO57</td>\n",
       "      <td>Escherichia coli O157:H7</td>\n",
       "      <td>30S ribosomal protein S5</td>\n",
       "      <td>11206551; 11258796</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2, 1224, 1236, 91347, 543, 561, 562, 8...</td>\n",
       "      <td>167</td>\n",
       "      <td>NaN</td>\n",
       "      <td>s5</td>\n",
       "      <td>P0A7W3</td>\n",
       "      <td>5wf0;5wfs;6awb;6awc;6awd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Q5SHQ5</td>\n",
       "      <td>RS5_THET8</td>\n",
       "      <td>Thermus thermophilus (strain HB8 / ATCC 27634 ...</td>\n",
       "      <td>30S ribosomal protein S5</td>\n",
       "      <td>7957245; 16287167; 10476960; 10588692; 1101418...</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2, 1783272, 1297, 188787, 68933, 18878...</td>\n",
       "      <td>162</td>\n",
       "      <td>NaN</td>\n",
       "      <td>s5</td>\n",
       "      <td>Q5SHQ5</td>\n",
       "      <td>1fjg;1fka;1hnw;1hnx;1hnz;1hr0;1i94;1i95;1i96;1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Q2KID9</td>\n",
       "      <td>RT05_BOVIN</td>\n",
       "      <td>Bos taurus (Bovine)</td>\n",
       "      <td>28S ribosomal protein S5, mitochondrial (MRP-S...</td>\n",
       "      <td>11344316; 24799711</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2759, 33154, 33208, 6072, 33213, 33511...</td>\n",
       "      <td>430</td>\n",
       "      <td>Metazoa</td>\n",
       "      <td>s5</td>\n",
       "      <td>Q2KID9</td>\n",
       "      <td>3jd5;6neq;6nf8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>P21467</td>\n",
       "      <td>RS5_BACSU</td>\n",
       "      <td>Bacillus subtilis (strain 168)</td>\n",
       "      <td>30S ribosomal protein S5 (BS5)</td>\n",
       "      <td>8635744; 2139212; 9384377; 8969501; 6806564; 6...</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2, 1783272, 1239, 91061, 1385, 186817,...</td>\n",
       "      <td>166</td>\n",
       "      <td>NaN</td>\n",
       "      <td>s5</td>\n",
       "      <td>P21467</td>\n",
       "      <td>1eg0;3j9w;5njt;6ha1;6ha8;6htq</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>P62665</td>\n",
       "      <td>RS5_THET2</td>\n",
       "      <td>Thermus thermophilus (strain HB27 / ATCC BAA-1...</td>\n",
       "      <td>30S ribosomal protein S5</td>\n",
       "      <td>15064768</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2, 1783272, 1297, 188787, 68933, 18878...</td>\n",
       "      <td>162</td>\n",
       "      <td>NaN</td>\n",
       "      <td>s5</td>\n",
       "      <td>P62665</td>\n",
       "      <td>4kvb;4v4i;4v4j;4v63;4v67;4v7p;4v83;4v84;4v9j;4...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>B7IA22</td>\n",
       "      <td>RS5_ACIB5</td>\n",
       "      <td>Acinetobacter baumannii (strain AB0057)</td>\n",
       "      <td>30S ribosomal protein S5</td>\n",
       "      <td>18931120</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2, 1224, 1236, 72274, 468, 469, 909768...</td>\n",
       "      <td>165</td>\n",
       "      <td>NaN</td>\n",
       "      <td>s5</td>\n",
       "      <td>B7IA22</td>\n",
       "      <td>6v39;6v3a;6v3b;6v3e</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Q5JJG8</td>\n",
       "      <td>RS5_THEKO</td>\n",
       "      <td>Thermococcus kodakarensis (strain ATCC BAA-918...</td>\n",
       "      <td>30S ribosomal protein S5</td>\n",
       "      <td>15710748</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2157, 28890, 183968, 2258, 2259, 2263,...</td>\n",
       "      <td>235</td>\n",
       "      <td>NaN</td>\n",
       "      <td>s5</td>\n",
       "      <td>Q5JJG8</td>\n",
       "      <td>6skf;6skg;6th6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>P46782</td>\n",
       "      <td>RS5_HUMAN</td>\n",
       "      <td>Homo sapiens (Human)</td>\n",
       "      <td>40S ribosomal protein S5 (Small ribosomal subu...</td>\n",
       "      <td>7772601; 11875025; 14702039; 15489334; 9582194...</td>\n",
       "      <td>Universal ribosomal protein uS7 family</td>\n",
       "      <td>131567, 2759, 33154, 33208, 6072, 33213, 33511...</td>\n",
       "      <td>204</td>\n",
       "      <td>Metazoa</td>\n",
       "      <td>s5</td>\n",
       "      <td>P46782</td>\n",
       "      <td>4ug0;4v6x;5a2q;5aj0;5flx;5lks;5oa3;5t2c;5vyc;6...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>P82675</td>\n",
       "      <td>RT05_HUMAN</td>\n",
       "      <td>Homo sapiens (Human)</td>\n",
       "      <td>28S ribosomal protein S5, mitochondrial (MRP-S...</td>\n",
       "      <td>11402041; 14702039; 15815621; 15489334; 112791...</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2759, 33154, 33208, 6072, 33213, 33511...</td>\n",
       "      <td>430</td>\n",
       "      <td>Metazoa</td>\n",
       "      <td>s5</td>\n",
       "      <td>P82675</td>\n",
       "      <td>3j9m;6nu2;6nu3;6rw4;6rw5;6vlz;6vmi;6zm5;6zm6;6...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>P0A7W1</td>\n",
       "      <td>RS5_ECOLI</td>\n",
       "      <td>Escherichia coli (strain K12)</td>\n",
       "      <td>30S ribosomal protein S5 (Small ribosomal subu...</td>\n",
       "      <td>6222285; 9278503; 16738553; 363452; 4273819; 4...</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2, 1224, 1236, 91347, 543, 561, 562, 8...</td>\n",
       "      <td>167</td>\n",
       "      <td>NaN</td>\n",
       "      <td>s5</td>\n",
       "      <td>P0A7W1</td>\n",
       "      <td>2ykr;3j9y;3j9z;3ja1;3jbu;3jbv;3jcd;3jce;3jcj;3...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Q2FW23</td>\n",
       "      <td>RS5_STAA8</td>\n",
       "      <td>Staphylococcus aureus (strain NCTC 8325 / PS 47)</td>\n",
       "      <td>30S ribosomal protein S5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2, 1783272, 1239, 91061, 1385, 90964, ...</td>\n",
       "      <td>166</td>\n",
       "      <td>NaN</td>\n",
       "      <td>s5</td>\n",
       "      <td>Q2FW23</td>\n",
       "      <td>5li0;5nd8;5nd9;5tcu;6yef;7kwg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>P23351</td>\n",
       "      <td>RMS5_NEUCR</td>\n",
       "      <td>Neurospora crassa (strain ATCC 24698 / 74-OR23...</td>\n",
       "      <td>Ribosomal protein S5, mitochondrial</td>\n",
       "      <td>6218884; 12712197; 10916154</td>\n",
       "      <td>Universal ribosomal protein uS3 family</td>\n",
       "      <td>131567, 2759, 33154, 4751, 451864, 4890, 71654...</td>\n",
       "      <td>508</td>\n",
       "      <td>Fungi</td>\n",
       "      <td>s5</td>\n",
       "      <td>P23351</td>\n",
       "      <td>6yw5;6ywx</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>P26783</td>\n",
       "      <td>RS5_YEAST</td>\n",
       "      <td>Saccharomyces cerevisiae (strain ATCC 204508 /...</td>\n",
       "      <td>40S ribosomal protein S5 (RP14) (S2) (Small ri...</td>\n",
       "      <td>8524651; 8641269; 24374639; 17322287; 1544921;...</td>\n",
       "      <td>Universal ribosomal protein uS7 family</td>\n",
       "      <td>131567, 2759, 33154, 4751, 451864, 4890, 71654...</td>\n",
       "      <td>225</td>\n",
       "      <td>Fungi</td>\n",
       "      <td>s5</td>\n",
       "      <td>P26783</td>\n",
       "      <td>2noq;3j6x;3j6y;3j77;3j78;4u3m;4u3n;4u3u;4u4n;4...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Q9ST69</td>\n",
       "      <td>RR5_SPIOL</td>\n",
       "      <td>Spinacia oleracea (Spinach)</td>\n",
       "      <td>30S ribosomal protein S5, chloroplastic (Chlor...</td>\n",
       "      <td>24352233; 10874039; 18042701; 28007896</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2759, 33090, 35493, 131221, 3193, 5802...</td>\n",
       "      <td>308</td>\n",
       "      <td>Viridiplantae</td>\n",
       "      <td>s5</td>\n",
       "      <td>Q9ST69</td>\n",
       "      <td>4v61;5mmj;5mmm;5x8p;5x8r;6eri</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Q9V1V5</td>\n",
       "      <td>RS5_PYRAB</td>\n",
       "      <td>Pyrococcus abyssi (strain GE5 / Orsay)</td>\n",
       "      <td>30S ribosomal protein S5</td>\n",
       "      <td>12622808; 22057919</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2157, 28890, 183968, 2258, 2259, 2260,...</td>\n",
       "      <td>236</td>\n",
       "      <td>NaN</td>\n",
       "      <td>s5</td>\n",
       "      <td>Q9V1V5</td>\n",
       "      <td>6sw9;6swc;6swd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Q8U017</td>\n",
       "      <td>RS5_PYRFU</td>\n",
       "      <td>Pyrococcus furiosus (strain ATCC 43587 / DSM 3...</td>\n",
       "      <td>30S ribosomal protein S5 (PfS5) (Small ribosom...</td>\n",
       "      <td>11119702; 10430560; 23222135</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2157, 28890, 183968, 2258, 2259, 2260,...</td>\n",
       "      <td>236</td>\n",
       "      <td>NaN</td>\n",
       "      <td>s5</td>\n",
       "      <td>Q8U017</td>\n",
       "      <td>4v6u;5jb3;5jbh</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>A0QSG6</td>\n",
       "      <td>RS5_MYCS2</td>\n",
       "      <td>Mycolicibacterium smegmatis (strain ATCC 70008...</td>\n",
       "      <td>30S ribosomal protein S5</td>\n",
       "      <td>17295914; 18955433</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2, 1783272, 201174, 1760, 85007, 1762,...</td>\n",
       "      <td>214</td>\n",
       "      <td>NaN</td>\n",
       "      <td>s5</td>\n",
       "      <td>A0QSG6</td>\n",
       "      <td>5o5j;5o61;5xyu;5zeb;5zep;5zeu;6dzi;6dzk</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>P33759</td>\n",
       "      <td>RT05_YEAST</td>\n",
       "      <td>Saccharomyces cerevisiae (strain ATCC 204508 /...</td>\n",
       "      <td>37S ribosomal protein S5, mitochondrial (Mitoc...</td>\n",
       "      <td>8256522; 7813418; 24374639; 11278769; 12392552...</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2759, 33154, 4751, 451864, 4890, 71654...</td>\n",
       "      <td>307</td>\n",
       "      <td>Fungi</td>\n",
       "      <td>s5</td>\n",
       "      <td>P33759</td>\n",
       "      <td>5mrc;5mre;5mrf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>F1SU66</td>\n",
       "      <td>F1SU66_PIG</td>\n",
       "      <td>Sus scrofa (Pig)</td>\n",
       "      <td>28S ribosomal protein S5, mitochondrial isofor...</td>\n",
       "      <td>25837512; 30089917; 30723633; 32602580</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2759, 33154, 33208, 6072, 33213, 33511...</td>\n",
       "      <td>430</td>\n",
       "      <td>Metazoa</td>\n",
       "      <td>s5</td>\n",
       "      <td>F1SU66</td>\n",
       "      <td>5aj3;5aj4;6gaw;6gaz;6ydp;6ydw</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>D0CD14</td>\n",
       "      <td>D0CD14_ACIB2</td>\n",
       "      <td>Acinetobacter baumannii (strain ATCC 19606 / D...</td>\n",
       "      <td>30S ribosomal protein S5</td>\n",
       "      <td>23144699</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2, 1224, 1236, 72274, 468, 469, 909768...</td>\n",
       "      <td>165</td>\n",
       "      <td>NaN</td>\n",
       "      <td>s5</td>\n",
       "      <td>D0CD14</td>\n",
       "      <td>6ypu;6yt9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>A0A241XG65</td>\n",
       "      <td>A0A241XG65_PSEAI</td>\n",
       "      <td>Pseudomonas aeruginosa</td>\n",
       "      <td>30S ribosomal protein S5</td>\n",
       "      <td>31611393;</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2, 1224, 1236, 72274, 135621, 286, 136...</td>\n",
       "      <td>166</td>\n",
       "      <td>NaN</td>\n",
       "      <td>s5</td>\n",
       "      <td>A0A241XG65</td>\n",
       "      <td>6spc;6spe;6spf;6spg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>W8TUC9</td>\n",
       "      <td>W8TUC9_STAAU</td>\n",
       "      <td>Staphylococcus aureus</td>\n",
       "      <td>30S ribosomal protein S5</td>\n",
       "      <td>26048971; 28487427; 28959035; 29479347; 299779...</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2, 1783272, 1239, 91061, 1385, 90964, ...</td>\n",
       "      <td>166</td>\n",
       "      <td>NaN</td>\n",
       "      <td>s5</td>\n",
       "      <td>W8TUC9</td>\n",
       "      <td>5ngm;5t7v;6s0x;6s13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>A0A1B4XKW0</td>\n",
       "      <td>A0A1B4XKW0_ENTFL</td>\n",
       "      <td>Enterococcus faecalis (Streptococcus faecalis)</td>\n",
       "      <td>30S ribosomal protein S5</td>\n",
       "      <td>30538507; 31028029;</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2, 1783272, 1239, 91061, 186826, 81852...</td>\n",
       "      <td>166</td>\n",
       "      <td>NaN</td>\n",
       "      <td>s5</td>\n",
       "      <td>A0A1B4XKW0</td>\n",
       "      <td>6o8w;6o8x;6o8y;6o8z;6o90;6w6p;6wub</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Q38AX6</td>\n",
       "      <td>Q38AX6_TRYB2</td>\n",
       "      <td>Trypanosoma brucei brucei (strain 927/4 GUTat1...</td>\n",
       "      <td>Ribosomal_S5_C domain-containing protein</td>\n",
       "      <td>16020726; 30213880</td>\n",
       "      <td>NaN</td>\n",
       "      <td>131567, 2759, 2611352, 33682, 5653, 2704647, 2...</td>\n",
       "      <td>435</td>\n",
       "      <td>NaN</td>\n",
       "      <td>s5</td>\n",
       "      <td>Q38AX6</td>\n",
       "      <td>6hiv;6hiw;6hiy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>F4TL26</td>\n",
       "      <td>F4TL26_ECOLX</td>\n",
       "      <td>Escherichia coli M718</td>\n",
       "      <td>30S ribosomal protein S5</td>\n",
       "      <td>32612237</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2, 1224, 1236, 91347, 543, 561, 562, 6...</td>\n",
       "      <td>167</td>\n",
       "      <td>NaN</td>\n",
       "      <td>s5</td>\n",
       "      <td>F4TL26</td>\n",
       "      <td>6vu3;6vz3;6wd0;6wd2;6wd3;6wd4;6wd5;6wd7;6wd9;6wda</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>F2Z5E6</td>\n",
       "      <td>F2Z5E6_PIG</td>\n",
       "      <td>Sus scrofa (Pig)</td>\n",
       "      <td>40S ribosomal protein S5 (Ribosomal protein S5)</td>\n",
       "      <td>24930395; 30723633</td>\n",
       "      <td>Universal ribosomal protein uS7 family</td>\n",
       "      <td>131567, 2759, 33154, 33208, 6072, 33213, 33511...</td>\n",
       "      <td>204</td>\n",
       "      <td>Metazoa</td>\n",
       "      <td>s5</td>\n",
       "      <td>F2Z5E6</td>\n",
       "      <td>3j7p;3j7r</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>G1TFM5</td>\n",
       "      <td>G1TFM5_RABIT</td>\n",
       "      <td>Oryctolagus cuniculus (Rabbit)</td>\n",
       "      <td>Ribosomal protein S5</td>\n",
       "      <td>21993624; 23873042; 25601755; 26245381; 278632...</td>\n",
       "      <td>Universal ribosomal protein uS7 family</td>\n",
       "      <td>131567, 2759, 33154, 33208, 6072, 33213, 33511...</td>\n",
       "      <td>204</td>\n",
       "      <td>Metazoa</td>\n",
       "      <td>s5</td>\n",
       "      <td>G1TFM5</td>\n",
       "      <td>3jag;3jah;3jai;4d5l;4d61;4kzx;4kzy;4kzz;5lzs;5...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>U3KMN4</td>\n",
       "      <td>U3KMN4_RABIT</td>\n",
       "      <td>Oryctolagus cuniculus (Rabbit)</td>\n",
       "      <td>Ribosomal protein S5</td>\n",
       "      <td>21993624; 27373335;</td>\n",
       "      <td>Universal ribosomal protein uS7 family</td>\n",
       "      <td>131567, 2759, 33154, 33208, 6072, 33213, 33511...</td>\n",
       "      <td>219</td>\n",
       "      <td>Metazoa</td>\n",
       "      <td>s5</td>\n",
       "      <td>U3KMN4</td>\n",
       "      <td>5k0y;6yal;6yam;6zvk;7a01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>A0A090BZW5</td>\n",
       "      <td>A0A090BZW5_ECOLX</td>\n",
       "      <td>Escherichia coli</td>\n",
       "      <td>30S ribosomal protein S5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2, 1224, 1236, 91347, 543, 561, 562</td>\n",
       "      <td>167</td>\n",
       "      <td>NaN</td>\n",
       "      <td>s5</td>\n",
       "      <td>A0A090BZW5</td>\n",
       "      <td>6ztj;6ztm;6ztn;6zto;6ztp;6zu1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>F4SQ30</td>\n",
       "      <td>F4SQ30_ECOLX</td>\n",
       "      <td>Escherichia coli H736</td>\n",
       "      <td>30S ribosomal protein S5</td>\n",
       "      <td>32341159</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2, 1224, 1236, 91347, 543, 561, 562, 6...</td>\n",
       "      <td>167</td>\n",
       "      <td>NaN</td>\n",
       "      <td>s5</td>\n",
       "      <td>F4SQ30</td>\n",
       "      <td>6lkq;6vz7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>D7Z9H2</td>\n",
       "      <td>D7Z9H2_ECOLX</td>\n",
       "      <td>Escherichia coli MS 69-1</td>\n",
       "      <td>30S ribosomal protein S5</td>\n",
       "      <td>31513010</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2, 1224, 1236, 91347, 543, 561, 562, 7...</td>\n",
       "      <td>167</td>\n",
       "      <td>NaN</td>\n",
       "      <td>s5</td>\n",
       "      <td>D7Z9H2</td>\n",
       "      <td>6ogf;6ogg;6ogi;6vyq;6vyr;6vys;6vyt;6vyw;6vyx;6...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>A0A1L4AA68</td>\n",
       "      <td>A0A1L4AA68_YEASX</td>\n",
       "      <td>Saccharomyces cerevisiae (Baker's yeast)</td>\n",
       "      <td>40S ribosomal protein S5 (BJ4_G0030950.mRNA.1....</td>\n",
       "      <td>28945246; 30911188; 31299085; 31858614; 322034...</td>\n",
       "      <td>Universal ribosomal protein uS7 family</td>\n",
       "      <td>131567, 2759, 33154, 4751, 451864, 4890, 71654...</td>\n",
       "      <td>225</td>\n",
       "      <td>Fungi</td>\n",
       "      <td>s5</td>\n",
       "      <td>A0A1L4AA68</td>\n",
       "      <td>5wlc;6q8y;6s47;6sv4;6t4q;6t7i;6t7t;6t83;6tnu;6...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Q8X048</td>\n",
       "      <td>Q8X048_NEUCS</td>\n",
       "      <td>Neurospora crassa</td>\n",
       "      <td>Related to ribosomal protein S5 (Mitochondrial)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2759, 33154, 4751, 451864, 4890, 71654...</td>\n",
       "      <td>477</td>\n",
       "      <td>Fungi</td>\n",
       "      <td>s5</td>\n",
       "      <td>Q8X048</td>\n",
       "      <td>6ywe;6ywy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>A0A1W5YJW8</td>\n",
       "      <td>A0A1W5YJW8_NEUCS</td>\n",
       "      <td>Neurospora crassa</td>\n",
       "      <td>Ribosomal protein S5</td>\n",
       "      <td>28414919;</td>\n",
       "      <td>NaN</td>\n",
       "      <td>131567, 2759, 33154, 4751, 451864, 4890, 71654...</td>\n",
       "      <td>508</td>\n",
       "      <td>Fungi</td>\n",
       "      <td>s5</td>\n",
       "      <td>A0A1W5YJW8</td>\n",
       "      <td>6ywe;6ywy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Q1K548</td>\n",
       "      <td>Q1K548_NEUCR</td>\n",
       "      <td>Neurospora crassa (strain ATCC 24698 / 74-OR23...</td>\n",
       "      <td>37S ribosomal protein S5</td>\n",
       "      <td>12712197</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2759, 33154, 4751, 451864, 4890, 71654...</td>\n",
       "      <td>477</td>\n",
       "      <td>Fungi</td>\n",
       "      <td>s5</td>\n",
       "      <td>Q1K548</td>\n",
       "      <td>6yw5;6ywx</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>G0S1Z0</td>\n",
       "      <td>G0S1Z0_CHATD</td>\n",
       "      <td>Chaetomium thermophilum (strain DSM 1495 / CBS...</td>\n",
       "      <td>40S ribosomal protein s5-like protein</td>\n",
       "      <td>21784248; 28967883; 31378463</td>\n",
       "      <td>Universal ribosomal protein uS7 family</td>\n",
       "      <td>131567, 2759, 33154, 4751, 451864, 4890, 71654...</td>\n",
       "      <td>212</td>\n",
       "      <td>Fungi</td>\n",
       "      <td>s5</td>\n",
       "      <td>G0S1Z0</td>\n",
       "      <td>5oql;6rxt;6rxu;6rxv;6rxx;6rxy;6rxz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Q8IL02</td>\n",
       "      <td>Q8IL02_PLAF7</td>\n",
       "      <td>Plasmodium falciparum (isolate 3D7)</td>\n",
       "      <td>40S ribosomal protein S5</td>\n",
       "      <td>12368864; 24913268; 26432834</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2759, 2698737, 33630, 5794, 422676, 58...</td>\n",
       "      <td>272</td>\n",
       "      <td>NaN</td>\n",
       "      <td>s5</td>\n",
       "      <td>Q8IL02</td>\n",
       "      <td>3j7a;3jbn;3jbo;3jbp;6okk</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>Q8IBN5</td>\n",
       "      <td>Q8IBN5_PLAF7</td>\n",
       "      <td>Plasmodium falciparum (isolate 3D7)</td>\n",
       "      <td>40S ribosomal protein S5, putative</td>\n",
       "      <td>12368864; 12368867; 24913268; 26432834</td>\n",
       "      <td>Universal ribosomal protein uS7 family</td>\n",
       "      <td>131567, 2759, 2698737, 33630, 5794, 422676, 58...</td>\n",
       "      <td>195</td>\n",
       "      <td>NaN</td>\n",
       "      <td>s5</td>\n",
       "      <td>Q8IBN5</td>\n",
       "      <td>3j7a;3jbn;3jbo;3jbp;6okk</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>C3SR27</td>\n",
       "      <td>C3SR27_ECOLX</td>\n",
       "      <td>Escherichia coli</td>\n",
       "      <td>30S ribosomal protein S5</td>\n",
       "      <td>19439656; 23275093; 25232178; 26438492; 258875...</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2, 1224, 1236, 91347, 543, 561, 562</td>\n",
       "      <td>167</td>\n",
       "      <td>NaN</td>\n",
       "      <td>s5</td>\n",
       "      <td>C3SR27</td>\n",
       "      <td>6ysr;6yss;6yst;6ysu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>A0A6A5PUZ5</td>\n",
       "      <td>A0A6A5PUZ5_YEASX</td>\n",
       "      <td>Saccharomyces cerevisiae (Baker's yeast)</td>\n",
       "      <td>60S ribosomal protein L10 (BJ4_G0035810.mRNA.1...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>131567, 2759, 33154, 4751, 451864, 4890, 71654...</td>\n",
       "      <td>221</td>\n",
       "      <td>Fungi</td>\n",
       "      <td>rpl10</td>\n",
       "      <td>A0A6A5PUZ5</td>\n",
       "      <td>6xiq;6xir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>A0A6A5PY83</td>\n",
       "      <td>A0A6A5PY83_YEASX</td>\n",
       "      <td>Saccharomyces cerevisiae (Baker's yeast)</td>\n",
       "      <td>60S ribosomal protein L24-A (BJ4_G0019990.mRNA...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Eukaryotic ribosomal protein eL24 family</td>\n",
       "      <td>131567, 2759, 33154, 4751, 451864, 4890, 71654...</td>\n",
       "      <td>155</td>\n",
       "      <td>Fungi</td>\n",
       "      <td>rpl24</td>\n",
       "      <td>A0A6A5PY83</td>\n",
       "      <td>6xiq;6xir</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Entry        Entry name  \\\n",
       "2       P02357         RS5_GEOSE   \n",
       "4       P19954       PRSP1_SPIOL   \n",
       "5       P0A7W3         RS5_ECO57   \n",
       "6       Q5SHQ5         RS5_THET8   \n",
       "7       Q2KID9        RT05_BOVIN   \n",
       "8       P21467         RS5_BACSU   \n",
       "9       P62665         RS5_THET2   \n",
       "11      B7IA22         RS5_ACIB5   \n",
       "12      Q5JJG8         RS5_THEKO   \n",
       "13      P46782         RS5_HUMAN   \n",
       "14      P82675        RT05_HUMAN   \n",
       "16      P0A7W1         RS5_ECOLI   \n",
       "17      Q2FW23         RS5_STAA8   \n",
       "18      P23351        RMS5_NEUCR   \n",
       "19      P26783         RS5_YEAST   \n",
       "20      Q9ST69         RR5_SPIOL   \n",
       "21      Q9V1V5         RS5_PYRAB   \n",
       "22      Q8U017         RS5_PYRFU   \n",
       "23      A0QSG6         RS5_MYCS2   \n",
       "24      P33759        RT05_YEAST   \n",
       "27      F1SU66        F1SU66_PIG   \n",
       "28      D0CD14      D0CD14_ACIB2   \n",
       "29  A0A241XG65  A0A241XG65_PSEAI   \n",
       "30      W8TUC9      W8TUC9_STAAU   \n",
       "31  A0A1B4XKW0  A0A1B4XKW0_ENTFL   \n",
       "32      Q38AX6      Q38AX6_TRYB2   \n",
       "35      F4TL26      F4TL26_ECOLX   \n",
       "39      F2Z5E6        F2Z5E6_PIG   \n",
       "43      G1TFM5      G1TFM5_RABIT   \n",
       "44      U3KMN4      U3KMN4_RABIT   \n",
       "51  A0A090BZW5  A0A090BZW5_ECOLX   \n",
       "52      F4SQ30      F4SQ30_ECOLX   \n",
       "53      D7Z9H2      D7Z9H2_ECOLX   \n",
       "54  A0A1L4AA68  A0A1L4AA68_YEASX   \n",
       "55      Q8X048      Q8X048_NEUCS   \n",
       "58  A0A1W5YJW8  A0A1W5YJW8_NEUCS   \n",
       "59      Q1K548      Q1K548_NEUCR   \n",
       "60      G0S1Z0      G0S1Z0_CHATD   \n",
       "61      Q8IL02      Q8IL02_PLAF7   \n",
       "62      Q8IBN5      Q8IBN5_PLAF7   \n",
       "64      C3SR27      C3SR27_ECOLX   \n",
       "65  A0A6A5PUZ5  A0A6A5PUZ5_YEASX   \n",
       "67  A0A6A5PY83  A0A6A5PY83_YEASX   \n",
       "\n",
       "                                             Organism  \\\n",
       "2   Geobacillus stearothermophilus (Bacillus stear...   \n",
       "4                         Spinacia oleracea (Spinach)   \n",
       "5                            Escherichia coli O157:H7   \n",
       "6   Thermus thermophilus (strain HB8 / ATCC 27634 ...   \n",
       "7                                 Bos taurus (Bovine)   \n",
       "8                      Bacillus subtilis (strain 168)   \n",
       "9   Thermus thermophilus (strain HB27 / ATCC BAA-1...   \n",
       "11            Acinetobacter baumannii (strain AB0057)   \n",
       "12  Thermococcus kodakarensis (strain ATCC BAA-918...   \n",
       "13                               Homo sapiens (Human)   \n",
       "14                               Homo sapiens (Human)   \n",
       "16                      Escherichia coli (strain K12)   \n",
       "17   Staphylococcus aureus (strain NCTC 8325 / PS 47)   \n",
       "18  Neurospora crassa (strain ATCC 24698 / 74-OR23...   \n",
       "19  Saccharomyces cerevisiae (strain ATCC 204508 /...   \n",
       "20                        Spinacia oleracea (Spinach)   \n",
       "21             Pyrococcus abyssi (strain GE5 / Orsay)   \n",
       "22  Pyrococcus furiosus (strain ATCC 43587 / DSM 3...   \n",
       "23  Mycolicibacterium smegmatis (strain ATCC 70008...   \n",
       "24  Saccharomyces cerevisiae (strain ATCC 204508 /...   \n",
       "27                                   Sus scrofa (Pig)   \n",
       "28  Acinetobacter baumannii (strain ATCC 19606 / D...   \n",
       "29                             Pseudomonas aeruginosa   \n",
       "30                              Staphylococcus aureus   \n",
       "31     Enterococcus faecalis (Streptococcus faecalis)   \n",
       "32  Trypanosoma brucei brucei (strain 927/4 GUTat1...   \n",
       "35                              Escherichia coli M718   \n",
       "39                                   Sus scrofa (Pig)   \n",
       "43                     Oryctolagus cuniculus (Rabbit)   \n",
       "44                     Oryctolagus cuniculus (Rabbit)   \n",
       "51                                   Escherichia coli   \n",
       "52                              Escherichia coli H736   \n",
       "53                           Escherichia coli MS 69-1   \n",
       "54           Saccharomyces cerevisiae (Baker's yeast)   \n",
       "55                                  Neurospora crassa   \n",
       "58                                  Neurospora crassa   \n",
       "59  Neurospora crassa (strain ATCC 24698 / 74-OR23...   \n",
       "60  Chaetomium thermophilum (strain DSM 1495 / CBS...   \n",
       "61                Plasmodium falciparum (isolate 3D7)   \n",
       "62                Plasmodium falciparum (isolate 3D7)   \n",
       "64                                   Escherichia coli   \n",
       "65           Saccharomyces cerevisiae (Baker's yeast)   \n",
       "67           Saccharomyces cerevisiae (Baker's yeast)   \n",
       "\n",
       "                                        Protein names  \\\n",
       "2                30S ribosomal protein S5 (BS5) (BS6)   \n",
       "4   Ribosome-binding factor PSRP1, chloroplastic (...   \n",
       "5                            30S ribosomal protein S5   \n",
       "6                            30S ribosomal protein S5   \n",
       "7   28S ribosomal protein S5, mitochondrial (MRP-S...   \n",
       "8                      30S ribosomal protein S5 (BS5)   \n",
       "9                            30S ribosomal protein S5   \n",
       "11                           30S ribosomal protein S5   \n",
       "12                           30S ribosomal protein S5   \n",
       "13  40S ribosomal protein S5 (Small ribosomal subu...   \n",
       "14  28S ribosomal protein S5, mitochondrial (MRP-S...   \n",
       "16  30S ribosomal protein S5 (Small ribosomal subu...   \n",
       "17                           30S ribosomal protein S5   \n",
       "18                Ribosomal protein S5, mitochondrial   \n",
       "19  40S ribosomal protein S5 (RP14) (S2) (Small ri...   \n",
       "20  30S ribosomal protein S5, chloroplastic (Chlor...   \n",
       "21                           30S ribosomal protein S5   \n",
       "22  30S ribosomal protein S5 (PfS5) (Small ribosom...   \n",
       "23                           30S ribosomal protein S5   \n",
       "24  37S ribosomal protein S5, mitochondrial (Mitoc...   \n",
       "27  28S ribosomal protein S5, mitochondrial isofor...   \n",
       "28                           30S ribosomal protein S5   \n",
       "29                           30S ribosomal protein S5   \n",
       "30                           30S ribosomal protein S5   \n",
       "31                           30S ribosomal protein S5   \n",
       "32           Ribosomal_S5_C domain-containing protein   \n",
       "35                           30S ribosomal protein S5   \n",
       "39    40S ribosomal protein S5 (Ribosomal protein S5)   \n",
       "43                               Ribosomal protein S5   \n",
       "44                               Ribosomal protein S5   \n",
       "51                           30S ribosomal protein S5   \n",
       "52                           30S ribosomal protein S5   \n",
       "53                           30S ribosomal protein S5   \n",
       "54  40S ribosomal protein S5 (BJ4_G0030950.mRNA.1....   \n",
       "55    Related to ribosomal protein S5 (Mitochondrial)   \n",
       "58                               Ribosomal protein S5   \n",
       "59                           37S ribosomal protein S5   \n",
       "60              40S ribosomal protein s5-like protein   \n",
       "61                           40S ribosomal protein S5   \n",
       "62                 40S ribosomal protein S5, putative   \n",
       "64                           30S ribosomal protein S5   \n",
       "65  60S ribosomal protein L10 (BJ4_G0035810.mRNA.1...   \n",
       "67  60S ribosomal protein L24-A (BJ4_G0019990.mRNA...   \n",
       "\n",
       "                                            PubMed ID  \\\n",
       "2   6363400; 1985969; 4607606; 2254291; 1508272; 9...   \n",
       "4   2693942; 2259340; 2376575; 1731992; 24352233; ...   \n",
       "5                                  11206551; 11258796   \n",
       "6   7957245; 16287167; 10476960; 10588692; 1101418...   \n",
       "7                                  11344316; 24799711   \n",
       "8   8635744; 2139212; 9384377; 8969501; 6806564; 6...   \n",
       "9                                            15064768   \n",
       "11                                           18931120   \n",
       "12                                           15710748   \n",
       "13  7772601; 11875025; 14702039; 15489334; 9582194...   \n",
       "14  11402041; 14702039; 15815621; 15489334; 112791...   \n",
       "16  6222285; 9278503; 16738553; 363452; 4273819; 4...   \n",
       "17                                                NaN   \n",
       "18                        6218884; 12712197; 10916154   \n",
       "19  8524651; 8641269; 24374639; 17322287; 1544921;...   \n",
       "20             24352233; 10874039; 18042701; 28007896   \n",
       "21                                 12622808; 22057919   \n",
       "22                       11119702; 10430560; 23222135   \n",
       "23                                 17295914; 18955433   \n",
       "24  8256522; 7813418; 24374639; 11278769; 12392552...   \n",
       "27             25837512; 30089917; 30723633; 32602580   \n",
       "28                                           23144699   \n",
       "29                                         31611393;    \n",
       "30  26048971; 28487427; 28959035; 29479347; 299779...   \n",
       "31                               30538507; 31028029;    \n",
       "32                                 16020726; 30213880   \n",
       "35                                           32612237   \n",
       "39                                 24930395; 30723633   \n",
       "43  21993624; 23873042; 25601755; 26245381; 278632...   \n",
       "44                               21993624; 27373335;    \n",
       "51                                                NaN   \n",
       "52                                           32341159   \n",
       "53                                           31513010   \n",
       "54  28945246; 30911188; 31299085; 31858614; 322034...   \n",
       "55                                                NaN   \n",
       "58                                         28414919;    \n",
       "59                                           12712197   \n",
       "60                       21784248; 28967883; 31378463   \n",
       "61                       12368864; 24913268; 26432834   \n",
       "62             12368864; 12368867; 24913268; 26432834   \n",
       "64  19439656; 23275093; 25232178; 26438492; 258875...   \n",
       "65                                                NaN   \n",
       "67                                                NaN   \n",
       "\n",
       "                                     Protein families  \\\n",
       "2              Universal ribosomal protein uS5 family   \n",
       "4   HPF/YfiA ribosome-associated protein family, L...   \n",
       "5              Universal ribosomal protein uS5 family   \n",
       "6              Universal ribosomal protein uS5 family   \n",
       "7              Universal ribosomal protein uS5 family   \n",
       "8              Universal ribosomal protein uS5 family   \n",
       "9              Universal ribosomal protein uS5 family   \n",
       "11             Universal ribosomal protein uS5 family   \n",
       "12             Universal ribosomal protein uS5 family   \n",
       "13             Universal ribosomal protein uS7 family   \n",
       "14             Universal ribosomal protein uS5 family   \n",
       "16             Universal ribosomal protein uS5 family   \n",
       "17             Universal ribosomal protein uS5 family   \n",
       "18             Universal ribosomal protein uS3 family   \n",
       "19             Universal ribosomal protein uS7 family   \n",
       "20             Universal ribosomal protein uS5 family   \n",
       "21             Universal ribosomal protein uS5 family   \n",
       "22             Universal ribosomal protein uS5 family   \n",
       "23             Universal ribosomal protein uS5 family   \n",
       "24             Universal ribosomal protein uS5 family   \n",
       "27             Universal ribosomal protein uS5 family   \n",
       "28             Universal ribosomal protein uS5 family   \n",
       "29             Universal ribosomal protein uS5 family   \n",
       "30             Universal ribosomal protein uS5 family   \n",
       "31             Universal ribosomal protein uS5 family   \n",
       "32                                                NaN   \n",
       "35             Universal ribosomal protein uS5 family   \n",
       "39             Universal ribosomal protein uS7 family   \n",
       "43             Universal ribosomal protein uS7 family   \n",
       "44             Universal ribosomal protein uS7 family   \n",
       "51             Universal ribosomal protein uS5 family   \n",
       "52             Universal ribosomal protein uS5 family   \n",
       "53             Universal ribosomal protein uS5 family   \n",
       "54             Universal ribosomal protein uS7 family   \n",
       "55             Universal ribosomal protein uS5 family   \n",
       "58                                                NaN   \n",
       "59             Universal ribosomal protein uS5 family   \n",
       "60             Universal ribosomal protein uS7 family   \n",
       "61             Universal ribosomal protein uS5 family   \n",
       "62             Universal ribosomal protein uS7 family   \n",
       "64             Universal ribosomal protein uS5 family   \n",
       "65                                                NaN   \n",
       "67           Eukaryotic ribosomal protein eL24 family   \n",
       "\n",
       "                          Taxonomic lineage IDs (all)  Length  \\\n",
       "2   131567, 2, 1783272, 1239, 91061, 1385, 186817,...     166   \n",
       "4   131567, 2759, 33090, 35493, 131221, 3193, 5802...     302   \n",
       "5   131567, 2, 1224, 1236, 91347, 543, 561, 562, 8...     167   \n",
       "6   131567, 2, 1783272, 1297, 188787, 68933, 18878...     162   \n",
       "7   131567, 2759, 33154, 33208, 6072, 33213, 33511...     430   \n",
       "8   131567, 2, 1783272, 1239, 91061, 1385, 186817,...     166   \n",
       "9   131567, 2, 1783272, 1297, 188787, 68933, 18878...     162   \n",
       "11  131567, 2, 1224, 1236, 72274, 468, 469, 909768...     165   \n",
       "12  131567, 2157, 28890, 183968, 2258, 2259, 2263,...     235   \n",
       "13  131567, 2759, 33154, 33208, 6072, 33213, 33511...     204   \n",
       "14  131567, 2759, 33154, 33208, 6072, 33213, 33511...     430   \n",
       "16  131567, 2, 1224, 1236, 91347, 543, 561, 562, 8...     167   \n",
       "17  131567, 2, 1783272, 1239, 91061, 1385, 90964, ...     166   \n",
       "18  131567, 2759, 33154, 4751, 451864, 4890, 71654...     508   \n",
       "19  131567, 2759, 33154, 4751, 451864, 4890, 71654...     225   \n",
       "20  131567, 2759, 33090, 35493, 131221, 3193, 5802...     308   \n",
       "21  131567, 2157, 28890, 183968, 2258, 2259, 2260,...     236   \n",
       "22  131567, 2157, 28890, 183968, 2258, 2259, 2260,...     236   \n",
       "23  131567, 2, 1783272, 201174, 1760, 85007, 1762,...     214   \n",
       "24  131567, 2759, 33154, 4751, 451864, 4890, 71654...     307   \n",
       "27  131567, 2759, 33154, 33208, 6072, 33213, 33511...     430   \n",
       "28  131567, 2, 1224, 1236, 72274, 468, 469, 909768...     165   \n",
       "29  131567, 2, 1224, 1236, 72274, 135621, 286, 136...     166   \n",
       "30  131567, 2, 1783272, 1239, 91061, 1385, 90964, ...     166   \n",
       "31  131567, 2, 1783272, 1239, 91061, 186826, 81852...     166   \n",
       "32  131567, 2759, 2611352, 33682, 5653, 2704647, 2...     435   \n",
       "35  131567, 2, 1224, 1236, 91347, 543, 561, 562, 6...     167   \n",
       "39  131567, 2759, 33154, 33208, 6072, 33213, 33511...     204   \n",
       "43  131567, 2759, 33154, 33208, 6072, 33213, 33511...     204   \n",
       "44  131567, 2759, 33154, 33208, 6072, 33213, 33511...     219   \n",
       "51        131567, 2, 1224, 1236, 91347, 543, 561, 562     167   \n",
       "52  131567, 2, 1224, 1236, 91347, 543, 561, 562, 6...     167   \n",
       "53  131567, 2, 1224, 1236, 91347, 543, 561, 562, 7...     167   \n",
       "54  131567, 2759, 33154, 4751, 451864, 4890, 71654...     225   \n",
       "55  131567, 2759, 33154, 4751, 451864, 4890, 71654...     477   \n",
       "58  131567, 2759, 33154, 4751, 451864, 4890, 71654...     508   \n",
       "59  131567, 2759, 33154, 4751, 451864, 4890, 71654...     477   \n",
       "60  131567, 2759, 33154, 4751, 451864, 4890, 71654...     212   \n",
       "61  131567, 2759, 2698737, 33630, 5794, 422676, 58...     272   \n",
       "62  131567, 2759, 2698737, 33630, 5794, 422676, 58...     195   \n",
       "64        131567, 2, 1224, 1236, 91347, 543, 561, 562     167   \n",
       "65  131567, 2759, 33154, 4751, 451864, 4890, 71654...     221   \n",
       "67  131567, 2759, 33154, 4751, 451864, 4890, 71654...     155   \n",
       "\n",
       "   Taxonomic lineage (KINGDOM) ribosome protein  SP_PRIMARY  \\\n",
       "2                          NaN               s5      P02357   \n",
       "4                Viridiplantae               s5      P19954   \n",
       "5                          NaN               s5      P0A7W3   \n",
       "6                          NaN               s5      Q5SHQ5   \n",
       "7                      Metazoa               s5      Q2KID9   \n",
       "8                          NaN               s5      P21467   \n",
       "9                          NaN               s5      P62665   \n",
       "11                         NaN               s5      B7IA22   \n",
       "12                         NaN               s5      Q5JJG8   \n",
       "13                     Metazoa               s5      P46782   \n",
       "14                     Metazoa               s5      P82675   \n",
       "16                         NaN               s5      P0A7W1   \n",
       "17                         NaN               s5      Q2FW23   \n",
       "18                       Fungi               s5      P23351   \n",
       "19                       Fungi               s5      P26783   \n",
       "20               Viridiplantae               s5      Q9ST69   \n",
       "21                         NaN               s5      Q9V1V5   \n",
       "22                         NaN               s5      Q8U017   \n",
       "23                         NaN               s5      A0QSG6   \n",
       "24                       Fungi               s5      P33759   \n",
       "27                     Metazoa               s5      F1SU66   \n",
       "28                         NaN               s5      D0CD14   \n",
       "29                         NaN               s5  A0A241XG65   \n",
       "30                         NaN               s5      W8TUC9   \n",
       "31                         NaN               s5  A0A1B4XKW0   \n",
       "32                         NaN               s5      Q38AX6   \n",
       "35                         NaN               s5      F4TL26   \n",
       "39                     Metazoa               s5      F2Z5E6   \n",
       "43                     Metazoa               s5      G1TFM5   \n",
       "44                     Metazoa               s5      U3KMN4   \n",
       "51                         NaN               s5  A0A090BZW5   \n",
       "52                         NaN               s5      F4SQ30   \n",
       "53                         NaN               s5      D7Z9H2   \n",
       "54                       Fungi               s5  A0A1L4AA68   \n",
       "55                       Fungi               s5      Q8X048   \n",
       "58                       Fungi               s5  A0A1W5YJW8   \n",
       "59                       Fungi               s5      Q1K548   \n",
       "60                       Fungi               s5      G0S1Z0   \n",
       "61                         NaN               s5      Q8IL02   \n",
       "62                         NaN               s5      Q8IBN5   \n",
       "64                         NaN               s5      C3SR27   \n",
       "65                       Fungi            rpl10  A0A6A5PUZ5   \n",
       "67                       Fungi            rpl24  A0A6A5PY83   \n",
       "\n",
       "                                                  PDB  \n",
       "2                                      1dv4;1pkp;1qd7  \n",
       "4                            5mmj;5mmm;5x8p;5x8r;6eri  \n",
       "5                            5wf0;5wfs;6awb;6awc;6awd  \n",
       "6   1fjg;1fka;1hnw;1hnx;1hnz;1hr0;1i94;1i95;1i96;1...  \n",
       "7                                      3jd5;6neq;6nf8  \n",
       "8                       1eg0;3j9w;5njt;6ha1;6ha8;6htq  \n",
       "9   4kvb;4v4i;4v4j;4v63;4v67;4v7p;4v83;4v84;4v9j;4...  \n",
       "11                                6v39;6v3a;6v3b;6v3e  \n",
       "12                                     6skf;6skg;6th6  \n",
       "13  4ug0;4v6x;5a2q;5aj0;5flx;5lks;5oa3;5t2c;5vyc;6...  \n",
       "14  3j9m;6nu2;6nu3;6rw4;6rw5;6vlz;6vmi;6zm5;6zm6;6...  \n",
       "16  2ykr;3j9y;3j9z;3ja1;3jbu;3jbv;3jcd;3jce;3jcj;3...  \n",
       "17                      5li0;5nd8;5nd9;5tcu;6yef;7kwg  \n",
       "18                                          6yw5;6ywx  \n",
       "19  2noq;3j6x;3j6y;3j77;3j78;4u3m;4u3n;4u3u;4u4n;4...  \n",
       "20                      4v61;5mmj;5mmm;5x8p;5x8r;6eri  \n",
       "21                                     6sw9;6swc;6swd  \n",
       "22                                     4v6u;5jb3;5jbh  \n",
       "23            5o5j;5o61;5xyu;5zeb;5zep;5zeu;6dzi;6dzk  \n",
       "24                                     5mrc;5mre;5mrf  \n",
       "27                      5aj3;5aj4;6gaw;6gaz;6ydp;6ydw  \n",
       "28                                          6ypu;6yt9  \n",
       "29                                6spc;6spe;6spf;6spg  \n",
       "30                                5ngm;5t7v;6s0x;6s13  \n",
       "31                 6o8w;6o8x;6o8y;6o8z;6o90;6w6p;6wub  \n",
       "32                                     6hiv;6hiw;6hiy  \n",
       "35  6vu3;6vz3;6wd0;6wd2;6wd3;6wd4;6wd5;6wd7;6wd9;6wda  \n",
       "39                                          3j7p;3j7r  \n",
       "43  3jag;3jah;3jai;4d5l;4d61;4kzx;4kzy;4kzz;5lzs;5...  \n",
       "44                           5k0y;6yal;6yam;6zvk;7a01  \n",
       "51                      6ztj;6ztm;6ztn;6zto;6ztp;6zu1  \n",
       "52                                          6lkq;6vz7  \n",
       "53  6ogf;6ogg;6ogi;6vyq;6vyr;6vys;6vyt;6vyw;6vyx;6...  \n",
       "54  5wlc;6q8y;6s47;6sv4;6t4q;6t7i;6t7t;6t83;6tnu;6...  \n",
       "55                                          6ywe;6ywy  \n",
       "58                                          6ywe;6ywy  \n",
       "59                                          6yw5;6ywx  \n",
       "60                 5oql;6rxt;6rxu;6rxv;6rxx;6rxy;6rxz  \n",
       "61                           3j7a;3jbn;3jbo;3jbp;6okk  \n",
       "62                           3j7a;3jbn;3jbo;3jbp;6okk  \n",
       "64                                6ysr;6yss;6yst;6ysu  \n",
       "65                                          6xiq;6xir  \n",
       "67                                          6xiq;6xir  "
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pdb_subset[pdb_subset['PDB'].str.split(';').str.len()>1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(43, 12)"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pdb_subset[pdb_subset['PDB'].str.split(';').str.len()>1].shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# STEP 8: Multiple 3D structure records selection\n",
    "\n",
    "After we identified proteins with multiple (more than one) records of their 3D structures available in PDB Database, further selection needs to be performed. The aim of this step is to choose best records among other for each multiple record protein. Criteria can concern attributes as resolution, length or experimental method. To do so, below steps can be followed."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Firstly, we need to download PDB data of multiple records. We obtained: rcsb ID, external references ID, title of structure, resolution and experimental method. All was made using query build with GraphiQL API.\n",
    "1. [GraphiQL with query system](http://data.rcsb.org/graphql/index.html?query=%7B%0A%20%20entries(entry_ids%3A%20%5B%221PKP%22%2C%20%221VD4%22%5D)%20%7B%0A%20%20%20%20rcsb_id%0A%20%20%20%20rcsb_external_references%20%7B%0A%20%20%20%20%20%20id%0A%20%20%20%20%7D%0A%20%20%20%20struct%20%7B%0A%20%20%20%20%20%20title%0A%20%20%20%20%7D%0A%20%20%20%20em_3d_reconstruction%20%7B%0A%20%20%20%20%20%20resolution%0A%20%20%20%20%7D%0A%20%20%20%20exptl%20%7B%0A%20%20%20%20%20%20method%0A%20%20%20%20%7D%0A%20%20%7D%0A%7D%0A) \n",
    "2. [Data attributes](https://data.rcsb.org/data-attributes.html) \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {},
   "outputs": [],
   "source": [
    "query='''{\n",
    "  entries(entry_ids: [\"4ug0\", \"4v6x\", \"4ug0\", \"4v6x\", \"5a2q\", \"5aj0\", \"5flx\", \"5lks\", \"5oa3\", \"5t2c\", \"5vyc\", \"6ek0\", \"6fec\", \"6g18\", \"6g4s\", \"6g4w\", \"6g51\", \"6g53\", \"6g5h\", \"6g5i\", \"6ip5\", \"6ip6\", \"6ip8\", \"6ole\", \"6olf\", \"6olg\", \"6oli\", \"6olz\", \"6om0\", \"6om7\", \"6qzp\", \"6y0g\", \"6y2l\", \"6y57\", \"5wf0\", \"5wfs\", \"6awb\", \"6awc\", \"6awd\", \"1fjg\", \"1fka\", \"1hnw\", \"1hnx\", \"1hnz\", \"1hr0\", \"1i94\", \"1i95\", \"1i96\", \"1i97\", \"1ibk\", \"1ibl\", \"1ibm\", \"1j5e\", \"1jgo\", \"1jgp\", \"1jgq\", \"1ml5\", \"1n32\", \"1n33\", \"1n34\", \"1n36\", \"1vvj\", \"1vy4\", \"1vy5\", \"1vy6\", \"1vy7\", \"1xmo\", \"1xmq\", \"1xnq\", \"1xnr\", \"2e5l\", \"2f4v\", \"2hhh\", \"2uu9\", \"2uua\", \"2uub\", \"2uuc\", \"2uxb\", \"2uxc\", \"2uxd\", \"2vqe\", \"2vqf\", \"2zm6\", \"3oto\", \"3t1h\", \"3t1y\", \"4aqy\", \"4b3m\", \"4b3r\", \"4b3s\", \"4b3t\", \"4dr1\", \"4dr2\", \"4dr3\", \"4dr4\", \"4dr5\", \"4dr6\", \"4dr7\", \"4duy\", \"4duz\", \"4dv0\", \"4dv1\", \"4dv2\", \"4dv3\", \"4dv4\", \"4dv5\", \"4dv6\", \"4dv7\", \"4gkj\", \"4gkk\", \"4ji0\", \"4ji1\", \"4ji2\", \"4ji3\", \"4ji4\", \"4ji5\", \"4ji6\", \"4ji7\", \"4ji8\", \"4jv5\", \"4jya\", \"4k0k\", \"4khp\", \"4l47\", \"4l71\", \"4lel\", \"4lf4\", \"4lf5\", \"4lf6\", \"4lf7\", \"4lf8\", \"4lf9\", \"4lfa\", \"4lfb\", \"4lfc\", \"4lfz\", \"4lnt\", \"4lsk\", \"4lt8\", \"4nxm\", \"4nxn\", \"4ox9\", \"4p6f\", \"4p70\", \"4tua\", \"4tub\", \"4tuc\", \"4tud\", \"4tue\", \"4v42\", \"4v4p\", \"4v4r\", \"4v4s\", \"4v4t\", \"4v4x\", \"4v4y\", \"4v4z\", \"4v51\", \"4v5a\", \"4v5c\", \"4v5d\", \"4v5e\", \"4v5f\", \"4v5g\", \"4v5j\", \"4v5k\", \"4v5l\", \"4v5m\", \"4v5n\", \"4v5p\", \"4v5q\", \"4v5r\", \"4v5s\", \"4v68\", \"4v6a\", \"4v6f\", \"4v6g\", \"4v7j\", \"4v7k\", \"4v7l\", \"4v7m\", \"4v7w\", \"4v7x\", \"4v7y\", \"4v7z\", \"4v87\", \"4v8a\", \"4v8b\", \"4v8c\", \"4v8d\", \"4v8e\", \"4v8f\", \"4v8g\", \"4v8h\", \"4v8i\", \"4v8j\", \"4v8n\", \"4v8o\", \"4v8q\", \"4v8u\", \"4v8x\", \"4v90\", \"4v95\", \"4v97\", \"4v9a\", \"4v9b\", \"4v9h\", \"4v9i\", \"4v9r\", \"4v9s\", \"4w2e\", \"4w2f\", \"4w2g\", \"4w2h\", \"4w2i\", \"4w4g\", \"4wpo\", \"4wq1\", \"4wqf\", \"4wqr\", \"4wqu\", \"4wqy\", \"4wr6\", \"4wra\", \"4wro\", \"4wsd\", \"4wsm\", \"4wt1\", \"4wt8\", \"4wu1\", \"4wzd\", \"4wzo\", \"4x62\", \"4x64\", \"4x65\", \"4x66\", \"4y4o\", \"4y4p\", \"4yhh\", \"4ypb\", \"4yy3\", \"4yzv\", \"4z3s\", \"4z8c\", \"4zer\", \"4zsn\", \"5a9z\", \"5aa0\", \"5br8\", \"5czp\", \"5d8b\", \"5dfe\", \"5dox\", \"5doy\", \"5e7k\", \"5e81\", \"5el4\", \"5el5\", \"5el6\", \"5el7\", \"5f8k\", \"5fdu\", \"5fdv\", \"5hau\", \"5hcp\", \"5hcq\", \"5hcr\", \"5hd1\", \"5ib7\", \"5ib8\", \"5ibb\", \"5imq\", \"5imr\", \"5iwa\", \"5j30\", \"5j3c\", \"5j4b\", \"5j4c\", \"5j8b\", \"5lmn\", \"5lmo\", \"5lmp\", \"5lmq\", \"5lmr\", \"5lms\", \"5lmt\", \"5lmu\", \"5lmv\", \"5ndj\", \"5ndk\", \"5ot7\", \"5uq7\", \"5uq8\", \"5vp2\", \"5vpo\", \"5vpp\", \"5w4k\", \"5wis\", \"5wit\", \"5wnp\", \"5wnq\", \"5wnr\", \"5wns\", \"5wnt\", \"5wnu\", \"5wnv\", \"5zlu\", \"6buw\", \"6bz6\", \"6bz7\", \"6bz8\", \"6cae\", \"6cao\", \"6cap\", \"6caq\", \"6car\", \"6cas\", \"6cfj\", \"6cfk\", \"6cfl\", \"6czr\", \"6dti\", \"6fkr\", \"6gsj\", \"6gsk\", \"6gsl\", \"6gzq\", \"6gzx\", \"6gzz\", \"6mkn\", \"6mpf\", \"6mpi\", \"6nd5\", \"6nd6\", \"6ndk\", \"6ny6\", \"6o97\", \"6of1\", \"6of6\", \"6oj2\", \"6ope\", \"6ord\", \"6otr\", \"6oxa\", \"6oxi\", \"6q95\", \"6qnq\", \"6qnr\", \"6ucq\", \"6uo1\", \"5o5j\", \"5o61\", \"5xyu\", \"5zeb\", \"5zep\", \"5zeu\", \"6dzi\", \"6dzk\", \"5mrc\", \"5mre\", \"5mrf\", \"4v6u\", \"5jb3\", \"5jbh\", \"2ykr\", \"3j9y\", \"3j9z\", \"3ja1\", \"3jbu\", \"3jbv\", \"3jcd\", \"3jce\", \"3jcj\", \"3jcn\", \"4a2i\", \"4adv\", \"4u1u\", \"4u1v\", \"4u20\", \"4u24\", \"4u25\", \"4u26\", \"4u27\", \"4v47\", \"4v4h\", \"4v4q\", \"4v4v\", \"4v4w\", \"4v50\", \"4v52\", \"4v53\", \"4v54\", \"4v55\", \"4v56\", \"4v57\", \"4v5b\", \"4v5h\", \"4v5y\", \"4v64\", \"4v65\", \"4v66\", \"4v69\", \"4v6c\", \"4v6d\", \"4v6e\", \"4v6k\", \"4v6l\", \"4v6m\", \"4v6n\", \"4v6o\", \"4v6p\", \"4v6q\", \"4v6r\", \"4v6s\", \"4v6t\", \"4v6v\", \"4v6y\", \"4v6z\", \"4v70\", \"4v71\", \"4v72\", \"4v73\", \"4v74\", \"4v75\", \"4v76\", \"4v77\", \"4v78\", \"4v79\", \"4v7a\", \"4v7b\", \"4v7c\", \"4v7d\", \"4v7i\", \"4v7s\", \"4v7t\", \"4v7u\", \"4v7v\", \"4v85\", \"4v89\", \"4v9c\", \"4v9d\", \"4v9o\", \"4v9p\", \"4wf1\", \"4woi\", \"4www\", \"4ybb\", \"5afi\", \"5h5u\", \"5iqr\", \"5it8\", \"5j5b\", \"5j7l\", \"5j88\", \"5j8a\", \"5j91\", \"5jc9\", \"5jte\", \"5ju8\", \"5kcr\", \"5kcs\", \"5kps\", \"5kpv\", \"5kpw\", \"5kpx\", \"5l3p\", \"5lza\", \"5lzb\", \"5lzc\", \"5lzd\", \"5lze\", \"5lzf\", \"5mdv\", \"5mdw\", \"5mdy\", \"5mdz\", \"5me0\", \"5me1\", \"5mgp\", \"5my1\", \"5no2\", \"5no3\", \"5no4\", \"5np6\", \"5nwy\", \"5o2r\", \"5u4i\", \"5u4j\", \"5u9f\", \"5u9g\", \"5uyk\", \"5uyl\", \"5uym\", \"5uyn\", \"5uyp\", \"5uyq\", \"5uz4\", \"5wdt\", \"5we4\", \"5we6\", \"5wfk\", \"6bu8\", \"6by1\", \"6c4i\", \"6dnc\", \"6enf\", \"6enj\", \"6enu\", \"6gwt\", \"6gxm\", \"6gxn\", \"6gxo\", \"6gxp\", \"6h4n\", \"6h58\", \"6hrm\", \"6i7v\", \"6nqb\", \"6o9j\", \"6o9k\", \"6ofx\", \"6og7\", \"6ore\", \"6orl\", \"6ost\", \"6ot3\", \"6ouo\", \"6q97\", \"6q98\", \"6q9a\", \"6szs\", \"6tbv\", \"6tc3\", \"6vwl\", \"6vwm\", \"6vwn\", \"6wd6\", \"6wdb\", \"6wdc\", \"6wdd\", \"6wde\", \"6wdf\", \"6wdg\", \"6wdh\", \"6wdi\", \"6wdj\", \"6wdk\", \"6wdl\", \"6wdm\", \"6wnv\", \"6wnw\", \"6y6\", \"4kvb\", \"4v4i\", \"4v4j\", \"4v63\", \"4v67\", \"4v7p\", \"4v83\", \"4v84\", \"4v9j\", \"4v9k\", \"4v9l\", \"4v9m\", \"4v9n\", \"4v9q\", \"4w29\", \"4xej\", \"5j4d\", \"5v8i\", \"6b4v\", \"6boh\", \"6bok\", \"6n1d\", \"3j9m\", \"6nu2\", \"6nu3\", \"6rw4\", \"6rw5\", \"4v61\", \"5mmj\", \"5mmm\", \"5x8p\", \"5x8r\", \"6eri\", \"6sw9\", \"6swc\", \"6swd\", \"5li0\", \"5nd8\", \"5nd9\", \"5tcu\", \"2noq\", \"3j6x\", \"3j6y\", \"3j77\", \"3j78\", \"4u3m\", \"4u3n\", \"4u3u\", \"4u4n\", \"4u4o\", \"4u4q\", \"4u4r\", \"4u4u\", \"4u4y\", \"4u4z\", \"4u50\", \"4u51\", \"4u52\", \"4u53\", \"4u55\", \"4u56\", \"4u6f\", \"4v4b\", \"4v6i\", \"4v7r\", \"4v88\", \"4v8y\", \"4v8z\", \"5dat\", \"5dc3\", \"5dge\", \"5dgf\", \"5dgv\", \"5fci\", \"5fcj\", \"5i4l\", \"5jpq\", \"5juo\", \"5jup\", \"5jus\", \"5jut\", \"5juu\", \"5lyb\", \"5m1j\", \"5mc6\", \"5mei\", \"5ndg\", \"5ndv\", \"5ndw\", \"5obm\", \"5on6\", \"5tbw\", \"5tga\", \"5tgm\", \"5tzs\", \"5wyj\", \"5wyk\", \"6eml\", \"6fai\", \"6gq1\", \"6gqb\", \"6gqv\", \"6hhq\", \"6i7o\", \"6rbd\", \"6rbe\", \"6snt\", \"6y7c\", \"6v39\", \"6v3a\", \"6v3b\", \"6v3e\", \"5mmj\", \"5mmm\", \"5x8p\", \"5x8r\", \"6eri\", \"1eg0\", \"3j9w\", \"5njt\", \"6ha1\", \"6ha8\", \"6htq\", \"1dv4\", \"1pkp\", \"1qd7\", \"3jd5\", \"6neq\", \"6nf8\", \"6wd0\", \"6wd2\", \"6wd3\", \"6wd4\", \"6wd5\", \"6wd7\", \"6wd9\", \"6wda\", \"5oql\", \"6rxt\", \"6rxu\", \"6rxv\", \"6rxx\", \"6rxy\", \"6rxz\", \"5ngm\", \"5t7v\", \"6s0x\", \"6s13\", \"6spc\", \"6spe\", \"6spf\", \"6spg\", \"6ogf\", \"6ogg\", \"6ogi\", \"6hiv\", \"6hiw\", \"6hiy\", \"5k0y\", \"6yal\", \"6yam\", \"3jag\", \"3jah\", \"3jai\", \"4d5l\", \"4d61\", \"4kzx\", \"4kzy\", \"4kzz\", \"5lzs\", \"5lzt\", \"5lzu\", \"5lzv\", \"5lzw\", \"5lzx\", \"5lzy\", \"5lzz\", \"6d90\", \"6d9j\", \"6gz3\", \"6hcf\", \"6hcj\", \"6hcm\", \"6hcq\", \"6mtb\", \"6mtc\", \"6mtd\", \"6mte\", \"6p4g\", \"6p4h\", \"6p5i\", \"6p5j\", \"6p5k\", \"6p5n\", \"6r5q\", \"6r6g\", \"6r6p\", \"6r7q\", \"6sgc\", \"6w2s\", \"6w2t\", \"6yan\", \"3j7p\", \"3j7r\", \"5aj3\", \"5aj4\", \"6gaw\", \"6gaz\", \"3j7a\", \"3jbn\", \"3jbo\", \"3jbp\", \"6okk\", \"3j7a\", \"3jbn\", \"3jbo\", \"3jbp\", \"6okk\"]) {\n",
    "    rcsb_id\n",
    "    rcsb_external_references {\n",
    "      id\n",
    "    }\n",
    "    struct {\n",
    "      title\n",
    "    }\n",
    "    rcsb_entry_info {\n",
    "      resolution_combined\n",
    "    }\n",
    "    rcsb_uniprot_container_identifiers {\n",
    "      uniprot_id\n",
    "    }\n",
    "    exptl {\n",
    "      method\n",
    "    }\n",
    "  }\n",
    "}'''\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Query data was downloaded as a JSON object with requests function and then displayed as a text in JSON format with 'json.loads'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "metadata": {},
   "outputs": [],
   "source": [
    "qs = (pdb_subset['Entry'].tolist())\n",
    "results = {}\n",
    "for q in qs: \n",
    "    url = f'https://www.ebi.ac.uk/pdbe/graph-api/mappings/best_structures/{q}'\n",
    "    results[q] = requests.get(url)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Below code includes downloaded data parsing operations: allocating an empty list of length as number of queries and looping over all queries to finally store the number of loop iteration as a variable 'i'. StringIO function is used in order to convert data format so that it can be readable by Pandas."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 259,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ups!\n"
     ]
    }
   ],
   "source": [
    "# allocate an empty list of length = number of queries\n",
    "_df = [None] * len(qs)\n",
    "\n",
    "# loop over all queries and store the number of loop iteration as a variable `i`\n",
    "for i, query in enumerate(qs):\n",
    "    try:\n",
    "        # `io.StringIO` makes a str look like a file, so that we can read it into pandas - format conversion\n",
    "        _df[i] = pd.DataFrame.from_dict(json.loads(results[query].text)[query], orient='columns').head(1)\n",
    "        _df[i]['UniProt ID'] = query\n",
    "    except pd.errors.EmptyDataError:\n",
    "        print('%s nie sciagnelo sie dobrze' % query)\n",
    "    except json.JSONDecodeError:\n",
    "        print('ups!')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Data downloaded from the API is put into a frame with Pandas.concat function. Dataframe is constructed so that an input can be viewed in an approachable way and is defined as `select_pdb`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 264,
   "metadata": {},
   "outputs": [],
   "source": [
    "select_pdb = pd.concat(_df).set_index('UniProt ID')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 265,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>end</th>\n",
       "      <th>entity_id</th>\n",
       "      <th>chain_id</th>\n",
       "      <th>pdb_id</th>\n",
       "      <th>start</th>\n",
       "      <th>unp_end</th>\n",
       "      <th>coverage</th>\n",
       "      <th>unp_start</th>\n",
       "      <th>resolution</th>\n",
       "      <th>experimental_method</th>\n",
       "      <th>tax_id</th>\n",
       "      <th>preferred_assembly_id</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UniProt ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>P0A7W2</th>\n",
       "      <td>166</td>\n",
       "      <td>33</td>\n",
       "      <td>GA</td>\n",
       "      <td>4v48</td>\n",
       "      <td>1</td>\n",
       "      <td>167</td>\n",
       "      <td>0.994</td>\n",
       "      <td>2</td>\n",
       "      <td>11.5</td>\n",
       "      <td>Electron Microscopy</td>\n",
       "      <td>199310</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P27152</th>\n",
       "      <td>162</td>\n",
       "      <td>5</td>\n",
       "      <td>LB</td>\n",
       "      <td>6c5l</td>\n",
       "      <td>1</td>\n",
       "      <td>162</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1</td>\n",
       "      <td>3.2</td>\n",
       "      <td>X-ray diffraction</td>\n",
       "      <td>274</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P02357</th>\n",
       "      <td>150</td>\n",
       "      <td>1</td>\n",
       "      <td>A</td>\n",
       "      <td>1pkp</td>\n",
       "      <td>1</td>\n",
       "      <td>150</td>\n",
       "      <td>0.904</td>\n",
       "      <td>1</td>\n",
       "      <td>2.8</td>\n",
       "      <td>X-ray diffraction</td>\n",
       "      <td>1422</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A2RNN6</th>\n",
       "      <td>168</td>\n",
       "      <td>5</td>\n",
       "      <td>E</td>\n",
       "      <td>5myj</td>\n",
       "      <td>1</td>\n",
       "      <td>168</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1</td>\n",
       "      <td>5.6</td>\n",
       "      <td>Electron Microscopy</td>\n",
       "      <td>416870</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P0A7W3</th>\n",
       "      <td>157</td>\n",
       "      <td>38</td>\n",
       "      <td>LA</td>\n",
       "      <td>5wfs</td>\n",
       "      <td>1</td>\n",
       "      <td>166</td>\n",
       "      <td>0.940</td>\n",
       "      <td>10</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Electron Microscopy</td>\n",
       "      <td>83334</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A0A045JKV0</th>\n",
       "      <td>220</td>\n",
       "      <td>36</td>\n",
       "      <td>JA</td>\n",
       "      <td>5v93</td>\n",
       "      <td>1</td>\n",
       "      <td>220</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Electron Microscopy</td>\n",
       "      <td>1773</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C3SR27</th>\n",
       "      <td>167</td>\n",
       "      <td>38</td>\n",
       "      <td>LA</td>\n",
       "      <td>6yss</td>\n",
       "      <td>1</td>\n",
       "      <td>167</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1</td>\n",
       "      <td>2.6</td>\n",
       "      <td>Electron Microscopy</td>\n",
       "      <td>562</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A0A6A5PUZ5</th>\n",
       "      <td>221</td>\n",
       "      <td>9</td>\n",
       "      <td>I</td>\n",
       "      <td>6xir</td>\n",
       "      <td>1</td>\n",
       "      <td>221</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1</td>\n",
       "      <td>3.2</td>\n",
       "      <td>Electron Microscopy</td>\n",
       "      <td>4932</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>E6PBT5</th>\n",
       "      <td>130</td>\n",
       "      <td>32</td>\n",
       "      <td>FA</td>\n",
       "      <td>4bts</td>\n",
       "      <td>1</td>\n",
       "      <td>130</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1</td>\n",
       "      <td>3.7</td>\n",
       "      <td>X-ray diffraction</td>\n",
       "      <td>5911</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A0A6A5PY83</th>\n",
       "      <td>155</td>\n",
       "      <td>22</td>\n",
       "      <td>V</td>\n",
       "      <td>6xir</td>\n",
       "      <td>1</td>\n",
       "      <td>155</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1</td>\n",
       "      <td>3.2</td>\n",
       "      <td>Electron Microscopy</td>\n",
       "      <td>4932</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>67 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            end  entity_id chain_id pdb_id  start  unp_end  coverage  \\\n",
       "UniProt ID                                                             \n",
       "P0A7W2      166         33       GA   4v48      1      167     0.994   \n",
       "P27152      162          5       LB   6c5l      1      162     1.000   \n",
       "P02357      150          1        A   1pkp      1      150     0.904   \n",
       "A2RNN6      168          5        E   5myj      1      168     1.000   \n",
       "P0A7W3      157         38       LA   5wfs      1      166     0.940   \n",
       "...         ...        ...      ...    ...    ...      ...       ...   \n",
       "A0A045JKV0  220         36       JA   5v93      1      220     1.000   \n",
       "C3SR27      167         38       LA   6yss      1      167     1.000   \n",
       "A0A6A5PUZ5  221          9        I   6xir      1      221     1.000   \n",
       "E6PBT5      130         32       FA   4bts      1      130     1.000   \n",
       "A0A6A5PY83  155         22        V   6xir      1      155     1.000   \n",
       "\n",
       "            unp_start  resolution  experimental_method  tax_id  \\\n",
       "UniProt ID                                                       \n",
       "P0A7W2              2        11.5  Electron Microscopy  199310   \n",
       "P27152              1         3.2    X-ray diffraction     274   \n",
       "P02357              1         2.8    X-ray diffraction    1422   \n",
       "A2RNN6              1         5.6  Electron Microscopy  416870   \n",
       "P0A7W3             10         3.0  Electron Microscopy   83334   \n",
       "...               ...         ...                  ...     ...   \n",
       "A0A045JKV0          1         4.0  Electron Microscopy    1773   \n",
       "C3SR27              1         2.6  Electron Microscopy     562   \n",
       "A0A6A5PUZ5          1         3.2  Electron Microscopy    4932   \n",
       "E6PBT5              1         3.7    X-ray diffraction    5911   \n",
       "A0A6A5PY83          1         3.2  Electron Microscopy    4932   \n",
       "\n",
       "            preferred_assembly_id  \n",
       "UniProt ID                         \n",
       "P0A7W2                          1  \n",
       "P27152                          2  \n",
       "P02357                          1  \n",
       "A2RNN6                          1  \n",
       "P0A7W3                          1  \n",
       "...                           ...  \n",
       "A0A045JKV0                      1  \n",
       "C3SR27                          1  \n",
       "A0A6A5PUZ5                      1  \n",
       "E6PBT5                          1  \n",
       "A0A6A5PY83                      1  \n",
       "\n",
       "[67 rows x 12 columns]"
      ]
     },
     "execution_count": 265,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "select_pdb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# STEP 9: Final selection"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On the above prepared data, from now on is properly recognised as values. This gave us a set of 3D records with strictly selected qualities and characteristics for further computational and structural studies:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 268,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_selection = pd.merge(select_pdb, pdb_subset, left_index=True, right_on='Entry')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 269,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>end</th>\n",
       "      <th>entity_id</th>\n",
       "      <th>chain_id</th>\n",
       "      <th>pdb_id</th>\n",
       "      <th>start</th>\n",
       "      <th>unp_end</th>\n",
       "      <th>coverage</th>\n",
       "      <th>unp_start</th>\n",
       "      <th>resolution</th>\n",
       "      <th>experimental_method</th>\n",
       "      <th>...</th>\n",
       "      <th>Organism</th>\n",
       "      <th>Protein names</th>\n",
       "      <th>PubMed ID</th>\n",
       "      <th>Protein families</th>\n",
       "      <th>Taxonomic lineage IDs (all)</th>\n",
       "      <th>Length</th>\n",
       "      <th>Taxonomic lineage (KINGDOM)</th>\n",
       "      <th>ribosome protein</th>\n",
       "      <th>SP_PRIMARY</th>\n",
       "      <th>PDB</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>166</td>\n",
       "      <td>33</td>\n",
       "      <td>GA</td>\n",
       "      <td>4v48</td>\n",
       "      <td>1</td>\n",
       "      <td>167</td>\n",
       "      <td>0.994</td>\n",
       "      <td>2</td>\n",
       "      <td>11.5</td>\n",
       "      <td>Electron Microscopy</td>\n",
       "      <td>...</td>\n",
       "      <td>Escherichia coli O6:H1 (strain CFT073 / ATCC 7...</td>\n",
       "      <td>30S ribosomal protein S5</td>\n",
       "      <td>12471157</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2, 1224, 1236, 91347, 543, 561, 562, 1...</td>\n",
       "      <td>167</td>\n",
       "      <td>NaN</td>\n",
       "      <td>s5</td>\n",
       "      <td>P0A7W2</td>\n",
       "      <td>[4v48]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>162</td>\n",
       "      <td>5</td>\n",
       "      <td>LB</td>\n",
       "      <td>6c5l</td>\n",
       "      <td>1</td>\n",
       "      <td>162</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1</td>\n",
       "      <td>3.2</td>\n",
       "      <td>X-ray diffraction</td>\n",
       "      <td>...</td>\n",
       "      <td>Thermus thermophilus</td>\n",
       "      <td>30S ribosomal protein S5</td>\n",
       "      <td>9249063; 1637860</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2, 1783272, 1297, 188787, 68933, 18878...</td>\n",
       "      <td>162</td>\n",
       "      <td>NaN</td>\n",
       "      <td>s5</td>\n",
       "      <td>P27152</td>\n",
       "      <td>[6c5l]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>150</td>\n",
       "      <td>1</td>\n",
       "      <td>A</td>\n",
       "      <td>1pkp</td>\n",
       "      <td>1</td>\n",
       "      <td>150</td>\n",
       "      <td>0.904</td>\n",
       "      <td>1</td>\n",
       "      <td>2.8</td>\n",
       "      <td>X-ray diffraction</td>\n",
       "      <td>...</td>\n",
       "      <td>Geobacillus stearothermophilus (Bacillus stear...</td>\n",
       "      <td>30S ribosomal protein S5 (BS5) (BS6)</td>\n",
       "      <td>6363400; 1985969; 4607606; 2254291; 1508272; 9...</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2, 1783272, 1239, 91061, 1385, 186817,...</td>\n",
       "      <td>166</td>\n",
       "      <td>NaN</td>\n",
       "      <td>s5</td>\n",
       "      <td>P02357</td>\n",
       "      <td>[1dv4, 1pkp, 1qd7]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>168</td>\n",
       "      <td>5</td>\n",
       "      <td>E</td>\n",
       "      <td>5myj</td>\n",
       "      <td>1</td>\n",
       "      <td>168</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1</td>\n",
       "      <td>5.6</td>\n",
       "      <td>Electron Microscopy</td>\n",
       "      <td>...</td>\n",
       "      <td>Lactococcus lactis subsp. cremoris (strain MG1...</td>\n",
       "      <td>30S ribosomal protein S5</td>\n",
       "      <td>17307855</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2, 1783272, 1239, 91061, 186826, 1300,...</td>\n",
       "      <td>168</td>\n",
       "      <td>NaN</td>\n",
       "      <td>s5</td>\n",
       "      <td>A2RNN6</td>\n",
       "      <td>[5myj]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>157</td>\n",
       "      <td>38</td>\n",
       "      <td>LA</td>\n",
       "      <td>5wfs</td>\n",
       "      <td>1</td>\n",
       "      <td>166</td>\n",
       "      <td>0.940</td>\n",
       "      <td>10</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Electron Microscopy</td>\n",
       "      <td>...</td>\n",
       "      <td>Escherichia coli O157:H7</td>\n",
       "      <td>30S ribosomal protein S5</td>\n",
       "      <td>11206551; 11258796</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2, 1224, 1236, 91347, 543, 561, 562, 8...</td>\n",
       "      <td>167</td>\n",
       "      <td>NaN</td>\n",
       "      <td>s5</td>\n",
       "      <td>P0A7W3</td>\n",
       "      <td>[5wf0, 5wfs, 6awb, 6awc, 6awd]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>220</td>\n",
       "      <td>36</td>\n",
       "      <td>JA</td>\n",
       "      <td>5v93</td>\n",
       "      <td>1</td>\n",
       "      <td>220</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Electron Microscopy</td>\n",
       "      <td>...</td>\n",
       "      <td>Mycobacterium tuberculosis</td>\n",
       "      <td>30S ribosomal protein S5</td>\n",
       "      <td>28099825; 28977617;</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2, 1783272, 201174, 1760, 85007, 1762,...</td>\n",
       "      <td>220</td>\n",
       "      <td>NaN</td>\n",
       "      <td>s5</td>\n",
       "      <td>A0A045JKV0</td>\n",
       "      <td>[5v93]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>167</td>\n",
       "      <td>38</td>\n",
       "      <td>LA</td>\n",
       "      <td>6yss</td>\n",
       "      <td>1</td>\n",
       "      <td>167</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1</td>\n",
       "      <td>2.6</td>\n",
       "      <td>Electron Microscopy</td>\n",
       "      <td>...</td>\n",
       "      <td>Escherichia coli</td>\n",
       "      <td>30S ribosomal protein S5</td>\n",
       "      <td>19439656; 23275093; 25232178; 26438492; 258875...</td>\n",
       "      <td>Universal ribosomal protein uS5 family</td>\n",
       "      <td>131567, 2, 1224, 1236, 91347, 543, 561, 562</td>\n",
       "      <td>167</td>\n",
       "      <td>NaN</td>\n",
       "      <td>s5</td>\n",
       "      <td>C3SR27</td>\n",
       "      <td>[6ysr, 6yss, 6yst, 6ysu]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>221</td>\n",
       "      <td>9</td>\n",
       "      <td>I</td>\n",
       "      <td>6xir</td>\n",
       "      <td>1</td>\n",
       "      <td>221</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1</td>\n",
       "      <td>3.2</td>\n",
       "      <td>Electron Microscopy</td>\n",
       "      <td>...</td>\n",
       "      <td>Saccharomyces cerevisiae (Baker's yeast)</td>\n",
       "      <td>60S ribosomal protein L10 (BJ4_G0035810.mRNA.1...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>131567, 2759, 33154, 4751, 451864, 4890, 71654...</td>\n",
       "      <td>221</td>\n",
       "      <td>Fungi</td>\n",
       "      <td>rpl10</td>\n",
       "      <td>A0A6A5PUZ5</td>\n",
       "      <td>[6xiq, 6xir]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>130</td>\n",
       "      <td>32</td>\n",
       "      <td>FA</td>\n",
       "      <td>4bts</td>\n",
       "      <td>1</td>\n",
       "      <td>130</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1</td>\n",
       "      <td>3.7</td>\n",
       "      <td>X-ray diffraction</td>\n",
       "      <td>...</td>\n",
       "      <td>Tetrahymena thermophila</td>\n",
       "      <td>40S ribosomal protein rpS17e (Rps17e)</td>\n",
       "      <td>21205638; 23851459</td>\n",
       "      <td>NaN</td>\n",
       "      <td>131567, 2759, 2698737, 33630, 5878, 431838, 60...</td>\n",
       "      <td>130</td>\n",
       "      <td>NaN</td>\n",
       "      <td>rps17</td>\n",
       "      <td>E6PBT5</td>\n",
       "      <td>[4bts]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>155</td>\n",
       "      <td>22</td>\n",
       "      <td>V</td>\n",
       "      <td>6xir</td>\n",
       "      <td>1</td>\n",
       "      <td>155</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1</td>\n",
       "      <td>3.2</td>\n",
       "      <td>Electron Microscopy</td>\n",
       "      <td>...</td>\n",
       "      <td>Saccharomyces cerevisiae (Baker's yeast)</td>\n",
       "      <td>60S ribosomal protein L24-A (BJ4_G0019990.mRNA...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Eukaryotic ribosomal protein eL24 family</td>\n",
       "      <td>131567, 2759, 33154, 4751, 451864, 4890, 71654...</td>\n",
       "      <td>155</td>\n",
       "      <td>Fungi</td>\n",
       "      <td>rpl24</td>\n",
       "      <td>A0A6A5PY83</td>\n",
       "      <td>[6xiq, 6xir]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>67 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    end  entity_id chain_id pdb_id  start  unp_end  coverage  unp_start  \\\n",
       "0   166         33       GA   4v48      1      167     0.994          2   \n",
       "1   162          5       LB   6c5l      1      162     1.000          1   \n",
       "2   150          1        A   1pkp      1      150     0.904          1   \n",
       "3   168          5        E   5myj      1      168     1.000          1   \n",
       "5   157         38       LA   5wfs      1      166     0.940         10   \n",
       "..  ...        ...      ...    ...    ...      ...       ...        ...   \n",
       "63  220         36       JA   5v93      1      220     1.000          1   \n",
       "64  167         38       LA   6yss      1      167     1.000          1   \n",
       "65  221          9        I   6xir      1      221     1.000          1   \n",
       "66  130         32       FA   4bts      1      130     1.000          1   \n",
       "67  155         22        V   6xir      1      155     1.000          1   \n",
       "\n",
       "    resolution  experimental_method  ...  \\\n",
       "0         11.5  Electron Microscopy  ...   \n",
       "1          3.2    X-ray diffraction  ...   \n",
       "2          2.8    X-ray diffraction  ...   \n",
       "3          5.6  Electron Microscopy  ...   \n",
       "5          3.0  Electron Microscopy  ...   \n",
       "..         ...                  ...  ...   \n",
       "63         4.0  Electron Microscopy  ...   \n",
       "64         2.6  Electron Microscopy  ...   \n",
       "65         3.2  Electron Microscopy  ...   \n",
       "66         3.7    X-ray diffraction  ...   \n",
       "67         3.2  Electron Microscopy  ...   \n",
       "\n",
       "                                             Organism  \\\n",
       "0   Escherichia coli O6:H1 (strain CFT073 / ATCC 7...   \n",
       "1                                Thermus thermophilus   \n",
       "2   Geobacillus stearothermophilus (Bacillus stear...   \n",
       "3   Lactococcus lactis subsp. cremoris (strain MG1...   \n",
       "5                            Escherichia coli O157:H7   \n",
       "..                                                ...   \n",
       "63                         Mycobacterium tuberculosis   \n",
       "64                                   Escherichia coli   \n",
       "65           Saccharomyces cerevisiae (Baker's yeast)   \n",
       "66                            Tetrahymena thermophila   \n",
       "67           Saccharomyces cerevisiae (Baker's yeast)   \n",
       "\n",
       "                                        Protein names  \\\n",
       "0                            30S ribosomal protein S5   \n",
       "1                            30S ribosomal protein S5   \n",
       "2                30S ribosomal protein S5 (BS5) (BS6)   \n",
       "3                            30S ribosomal protein S5   \n",
       "5                            30S ribosomal protein S5   \n",
       "..                                                ...   \n",
       "63                           30S ribosomal protein S5   \n",
       "64                           30S ribosomal protein S5   \n",
       "65  60S ribosomal protein L10 (BJ4_G0035810.mRNA.1...   \n",
       "66              40S ribosomal protein rpS17e (Rps17e)   \n",
       "67  60S ribosomal protein L24-A (BJ4_G0019990.mRNA...   \n",
       "\n",
       "                                            PubMed ID  \\\n",
       "0                                            12471157   \n",
       "1                                    9249063; 1637860   \n",
       "2   6363400; 1985969; 4607606; 2254291; 1508272; 9...   \n",
       "3                                            17307855   \n",
       "5                                  11206551; 11258796   \n",
       "..                                                ...   \n",
       "63                               28099825; 28977617;    \n",
       "64  19439656; 23275093; 25232178; 26438492; 258875...   \n",
       "65                                                NaN   \n",
       "66                                 21205638; 23851459   \n",
       "67                                                NaN   \n",
       "\n",
       "                            Protein families  \\\n",
       "0     Universal ribosomal protein uS5 family   \n",
       "1     Universal ribosomal protein uS5 family   \n",
       "2     Universal ribosomal protein uS5 family   \n",
       "3     Universal ribosomal protein uS5 family   \n",
       "5     Universal ribosomal protein uS5 family   \n",
       "..                                       ...   \n",
       "63    Universal ribosomal protein uS5 family   \n",
       "64    Universal ribosomal protein uS5 family   \n",
       "65                                       NaN   \n",
       "66                                       NaN   \n",
       "67  Eukaryotic ribosomal protein eL24 family   \n",
       "\n",
       "                          Taxonomic lineage IDs (all) Length  \\\n",
       "0   131567, 2, 1224, 1236, 91347, 543, 561, 562, 1...    167   \n",
       "1   131567, 2, 1783272, 1297, 188787, 68933, 18878...    162   \n",
       "2   131567, 2, 1783272, 1239, 91061, 1385, 186817,...    166   \n",
       "3   131567, 2, 1783272, 1239, 91061, 186826, 1300,...    168   \n",
       "5   131567, 2, 1224, 1236, 91347, 543, 561, 562, 8...    167   \n",
       "..                                                ...    ...   \n",
       "63  131567, 2, 1783272, 201174, 1760, 85007, 1762,...    220   \n",
       "64        131567, 2, 1224, 1236, 91347, 543, 561, 562    167   \n",
       "65  131567, 2759, 33154, 4751, 451864, 4890, 71654...    221   \n",
       "66  131567, 2759, 2698737, 33630, 5878, 431838, 60...    130   \n",
       "67  131567, 2759, 33154, 4751, 451864, 4890, 71654...    155   \n",
       "\n",
       "   Taxonomic lineage (KINGDOM) ribosome protein  SP_PRIMARY  \\\n",
       "0                          NaN               s5      P0A7W2   \n",
       "1                          NaN               s5      P27152   \n",
       "2                          NaN               s5      P02357   \n",
       "3                          NaN               s5      A2RNN6   \n",
       "5                          NaN               s5      P0A7W3   \n",
       "..                         ...              ...         ...   \n",
       "63                         NaN               s5  A0A045JKV0   \n",
       "64                         NaN               s5      C3SR27   \n",
       "65                       Fungi            rpl10  A0A6A5PUZ5   \n",
       "66                         NaN            rps17      E6PBT5   \n",
       "67                       Fungi            rpl24  A0A6A5PY83   \n",
       "\n",
       "                               PDB  \n",
       "0                           [4v48]  \n",
       "1                           [6c5l]  \n",
       "2               [1dv4, 1pkp, 1qd7]  \n",
       "3                           [5myj]  \n",
       "5   [5wf0, 5wfs, 6awb, 6awc, 6awd]  \n",
       "..                             ...  \n",
       "63                          [5v93]  \n",
       "64        [6ysr, 6yss, 6yst, 6ysu]  \n",
       "65                    [6xiq, 6xir]  \n",
       "66                          [4bts]  \n",
       "67                    [6xiq, 6xir]  \n",
       "\n",
       "[67 rows x 24 columns]"
      ]
     },
     "execution_count": 269,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_selection"
   ]
  }
 ],
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