Skip to content

This is a set of simple python scripts to recode protein. This script can be used change codons in DNA of protein sequence.

Notifications You must be signed in to change notification settings

Mmark94/protein_recoding

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 

Repository files navigation

protein recoding

This is a set of simple python scripts to recode proteins. This script can be used to change codons in the DNA of protein sequences.

The "function change_codon_start_Dict_score" takes as input a DNA sequence of a protein and a dictionary of codons to change in the form {"codon_to_change":"codon_to_change_with"}. The script will try to find the first codon, the ATG and it will start the find and replace. In the script, I use as an example the GFP protein. For example, if the input codons are {"TCT":"TCG", "GCC":"GCT"}, the script will change all the TCT codons with TCG ad all the GCC codons with GCT.

The script is designed mostly to make synonymous changes, so if after the change the aa sequence changes, it will give a warning. However, this script can be used to perform all kinds of codon changes, also not synonymous.

The script will print the number of codons changed.

This script also calculates the change in the codon usage in the protein. I used the codon usage for the yeast genome (S. cerevisiae).

This is the codon usage for yeast genome (how much a codon is used to code an amino acid in proteins, the score is in percentage (from 0 to 1)): Dic_codon_usage = {'TTT': 0.59, 'TTC': 0.41, 'TTA': 0.28, 'TTG': 0.29, 'CTT': 0.13, 'CTC': 0.06, 'CTA': 0.14, 'CTG': 0.11, 'ATT': 0.46, 'ATC': 0.26, 'ATA': 0.27, 'GTT': 0.39, 'GTC': 0.21, 'GTA': 0.21, 'GTG': 0.19, 'TCT': 0.26, 'TCC': 0.16, 'TCA': 0.21, 'TCG': 0.1, 'AGT': 0.16, 'AGC': 0.11, 'CCT': 0.31, 'CCC': 0.15, 'CCA': 0.41, 'CCG': 0.12, 'ACT': 0.35, 'ACC': 0.22, 'ACA': 0.3, 'ACG': 0.13, 'GCT': 0.38, 'GCC': 0.22, 'GCA': 0.29, 'GCG': 0.11, 'TAT': 0.56, 'TAC': 0.44, 'CAT': 0.64, 'CAC': 0.36, 'CAA': 0.69, 'CAG': 0.31, 'AAT': 0.59, 'AAC': 0.41, 'AAA': 0.58, 'AAG': 0.42, 'GAT': 0.65, 'GAC': 0.35, 'GAA': 0.71, 'GAG': 0.29, 'TGT': 0.63, 'TGC': 0.37, 'CGT': 0.15, 'CGC': 0.06, 'CGA': 0.07, 'CGG': 0.04, 'AGA': 0.48, 'AGG': 0.21, 'GGT': 0.47, 'GGC': 0.19, 'GGA': 0.22, 'GGG': 0.12, 'ATG': 1.0, 'TGG': 1.0, 'TAA': 0.61, 'TAG': 0.09, 'TGA': 0.3}

The script will calculate a score that reflects the changes in the codon usage. The score is: (score_previous_aa - score_new_aa) * number_of_aa_changed The script will also calculate and print the previous usage codon mean and the new one.

I also add a new feature, if you want to not modify the first x aa in the sequence, you just put this number as the third argument in this way: DIC= {"ATG":"CCC", "ATT":"CTC", "AAA":"GGG"} change_codon_start_Dict_score(GFP,DIC, 5) This will not change the first 5 aa. By default this is 0, so you can omit this third argument.

About

This is a set of simple python scripts to recode protein. This script can be used change codons in DNA of protein sequence.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages