ProteinGym: Large-Scale Benchmarks for Protein Design and Fitness Prediction

Predicting the effects of mutations in proteins is critical to many applications, from understanding genetic disease to designing novel proteins that can address our most pressing challenges in climate, agriculture and healthcare. Despite a surge in machine learning-based protein models to tackle these questions, an assessment of their respective benefits is challenging due to the use of distinct, often contrived, experimental datasets, and the variable performance of models across different protein families. Addressing these challenges requires scale. To that end we introduce ProteinGym, a large-scale and holistic set of benchmarks specifically designed for protein fitness prediction and design. It…

• SV
  Silicon Valley Community Foundation
• CF
  Coalition for Epidemic Preparedness Innovations
• I
  Invitae
• NI
  National Institutes of Health

  Award: 1R01CA260415
• EA
  Engineering and Physical Sciences Research Council