Skip to content

Source code and data for "Natural products have increased rates of clinical trial success throughout the drug development process"

License

Notifications You must be signed in to change notification settings

ddomingof/np-clinical-trials

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

35 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Natural products have increased rates of clinical trial success throughout the drug development process

This repository contains code and data described in detail in our paper (Domingo-Fernández et al., 2024).

Table of Contents

Citation

If you have found our manuscript useful in your work, please consider citing:

Domingo-Fernandez, D., Gadiya, Y., Preto, A. J., Krettler, C., Mubeen, S., Allen, A., Healey, D., Colluru, V. (2024). Natural products have increased rates of clinical trial success throughout the drug development process. bioRxiv.

Reproducibility

Set up the environment (Python)

Install requirements

python -m venv .venv && source ./.venv/bin/activate
pip install -r requirements.txt

Rerun the notebooks

Run the notebooks located in the notebooks corresponding to each analysis. The prefix of the notebooks indicates the order in which it is run, which also corresponds to the Results sections of the manuscript. For detailed information about each notebook, see the README inside the notebooks directory.

Data

Datasets are publically available and can be directly downloaded from DOI. The files should be unzipped and placed in the data directory.

Furthermore, the directory data contains all the figures of the manuscript (generated by the notebooks) as well as the raw and intermediary files (also generated by the notebooks).

About

Source code and data for "Natural products have increased rates of clinical trial success throughout the drug development process"

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 99.3%
  • Python 0.7%