Folding@home COVID-19 efforts
This repository will contain all input files and generated datasets for the Folding@home efforts to better understand how the SARS-CoV-2 virus that causes COVID-19 can be targeted with small molecule and antibody therapeutics.
This repository will be continuously updated to share results that are being generated on Folding@home. You can follow along with news updates on the Folding@home blog and Folding@home twitter feed.
More information on this project can be found on this Folding@home news post.
How to contribute
You can help out by downloading the Folding@home client to your computer, installing it, and selecting "Any disease" from the Web Control panel:
We're especially in need of more donors with GPUs to help out, and all our GPU projects are devoted to potential drug targets for COVID-19 right now. For more information about Folding@home, check out http://foldingathome.org
Questions or feedback about running Folding@home
We need to keep the GitHub issue tracker clear for scientific collaborators to discuss input files and data, so please carefully route your questions or feedback as below:
- For questions about installing or running the Folding@home client software or the science behind our projects, please use the Folding Forum. A large community of folks can help answer your questions rapidly!
- For bug reports with the client (with complete steps to reproduce), please use the Folding@Home client issue tracker
- For other labs working on COVID-19 targets, please use the issue tracker for this project to ask questions
Thanks so much for your help as we deal with the very large influx of interest!
License
All scripts, datasets, and documentation are permissively and openly licensed consistent with Victoria Stodden's Reproducible Research Standard to ensure that they can be maximally reused, modified, and redistributed.
- All media components (text, figures, etc.) are licensed under the Attribution International (CC BY) 4.0 License
- All code is licensed under the permissive open source MIT License
- All datasets are licensed under the Creative Commons CC0 License
Datasets
Links to Folding@home generated datasets will be posted here as soon as the incoming data is batch-processed.
Participating laboratories
- Bowman Lab (WashU) - Folding@home Director
- Chodera lab (MSKCC)
- Voelz lab (Temple)
How to contact / collaborate with us
- Reach out to Folding@home Director Dr. Greg Bowman via email or twitter
Collaborators
- DiamondMX has carried out a fragment screen against the SARS-CoV-2 main viral protease that has generated many new X-ray structures with small molecules bound posted openly to advance the development of tool compounds and potential small molecule therapeutics. They are actively looking for funds for purchasing new compounds to screen to elaborate on these initial hits.
Contributors
- John Chodera (Memorial Sloan Kettering Cancer Center)
- Matthew Hurley (Temple University)
- Vincent Voelz (Temple University)
- Rafal Wiewiora (Tri-Institutional Graduate Program in Chemical Biology)
- Ivy Zhang (Computational Biology and Medicine Graduate Program)
Workflow
- Prepare input files for simulations on Folding@home (Available in
system_preparation/) - Run simulations (IN PROGRESS)
- Analyze simulations (COMING SOON)