Datasets › ProteinGym
ProteinGym
ProteinGym is a collection of benchmarks aiming at comparing the ability of models to predict the effects of protein mutations. The benchmarks in ProteinGym are divided according to mutation type (substitutions vs. indels), ground truth source (DMS assay vs. clinical annotation), and training regime (zero-shot vs. supervised).
Pascal Notin, Aaron Kollasch, Daniel Ritter, Lood Van Niekerk, Steffanie Paul, Han Spinner, Nathan Rollins, Ada Shaw, Rose Orenbuch, Ruben Weitzman, Jonathan Frazer, Mafalda Dias, Dinko Franceschi, Yarin Gal, and Debora Marks
https://github.com/OATML-Markslab/ProteinGym
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- ProteinGym
1 variant name, as the archive lists them.
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