EVEscape is a model for prediction of viral protein escape from antibody-mediated immunity.
The project was developed by:
Nicole Thadani*, Sarah Gurev*, Pascal Notin*, Noor Youssef, Nathan Rollins, Chris Sander, Yarin Gal, and Debora Marks**
*These authors contributed equally
Marks Lab - Harvard Medical School
OATML - Oxford Applied and Theoretical Machine Learning Group
You can read EVEscape's publication and find initial SARS-CoV-2 spike mutation and strain predictions on BioRxiv here.
You can browse through the code at our repository on github here.
Updated predictions coming soon!