Skip to content

Latest commit

 

History

History
146 lines (128 loc) · 6.83 KB

awesome-pharma-biotech-aiml.md

File metadata and controls

146 lines (128 loc) · 6.83 KB

awesome-pharma-biotech: open code repositories of pharma and biotech companies heavily using AI/ML



Introduction

Created by Vladimir Chupakhin, email at: chupvl@gmail.com. The list contains industry ventures - biotech, pharma, and life science tech companies with open code repositories. All of those companies work in the drug design and discovery field directly or not. Collection created with mostly Github as a primary search term, so other code platforms could be represented better. The section for the big pharma was based on the top pharma companies in 2022 by revenue and top 25 by R&D investment in 2022 (there is a COVID-19 bias). The ML-first-companies are companies that started as pure AI/ML that later converted to drug development in collaboration or internally. This list is based on my preferences and was partially improved by the list from the publication AI in small-molecule drug discovery: a coming wave?. Biotech companies section represents companies that started as a wet-lab platform but heavily using AI/ML for drug design and discovery process.

Criteria for inclusion:

  • Open code repository mostly of AI/ML focus
  • Direct involvment in a drug design and discovery process
  • I did not include: personal repositories of the company employees, and or course empty or suspicious repositories

Big pharma


ML-first-companies

Biotech companies

Wet-lab

ChemTech

Molecular Informatics

Clinical Informatics

License

This work is licensed under a Creative Commons Attribution 4.0 International License (CC-BY 4.0).

Contribution

Contributions are always welcome! Here's how you can help:

  • Add/remove companies to the list
  • Help with editing: typos likely present
  • Send a pull request with your proposed changes. To make this process easier and quicker, please follow these steps:
    • Fork this repository to your own GitHub account.
    • Clone the repository to your local machine.
    • Create a new branch where you'll do your work.
    • Make the necessary changes in the files.
    • Push your branch and open a pull request. Thank you for your contributions!