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awesome-pharma-biotech-collabs: open collaborations between biotech and pharma with a focus on data

Introduction

Created by Vladimir Chupakhin, email at: chupvl@gmail.com. There are a lot of collaborations happening between pharma and biotech companies, all of them generate data in some form. The focus of the current awesome list is to list most interesting ones that are open to the public. This means that the data, code or frameworks are available for anyone to use, which can help to accelerate research and development in the biotech and pharma industry. The list was originally focused on a small molecules, but will be later expanded to clinical trials and .

Criteria for inclusion:

  • Open collaboration that is related to data generation or data sharing and involves >1 pharma/biotech partners
  • Open collaboration results in data, code or documentation that can be reused for drug design and discovery process
  • Data or ML algorithm development is of preference (e.g., a collaboration that establishes some legal standards is not of interest)

Focus on small molecules

  • MELLODDY

    • Biotech/pharma partners: Amgen, Astellas, AstraZeneca, Bayer, Boehringer Ingelheim, GSK, Janssen, Merck KgaA, Novartis, Servier
    • Other partners: Iktos, Budapest University of Technology and Economics, Kubermatic, Katholieke Universiteit Leuven, NVIDIA, Owkin, Labelia labs
    • Focus: Improve small molecule model prediction capacity via federated learning
    • Code: https://github.com/melloddy
    • Data: closed, >20M compounds

  • JUMP-CP - JUMP-Cell Painting Consortium

    • Biotech/pharma partners: Amgen, AstraZeneca, Bayer, Biogen, Eisai, Janssen Pharmaceutica NV, Merck KGaA, Pfizer, Servier, Takeda
    • Other partners: Broad Institute of MIT and Harvard, Ksilink, Ardigen, Google Research, Horizon Discovery, Nomic, PerkinElmer, Verily
    • Focus: Create public data set to validate and scale up this image-based drug discovery strategy using Cell Painting technology
    • Code: https://github.com/jump-cellpainting
    • Data: open, >120K compounds

  • COVID Moonshot - open-science initiative to develop a COVID antiviral cure

    • Biotech/pharma partners: UCB,
    • Other partners:
    • Focus: generation of the COVID antiviral drug candidates via open-science initiative
    • Code: https://github.com/jump-cellpainting
    • Data: open, >2K compounds

  • Not meeting the criteria

Focus on bio-data

Focus on clinical trials

Focus on diagnostics

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 collaborations 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!