ProteinGym mutation effects

Predict the fitness effects of mutations across 217 deep mutational scans (placeholder)

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State the benchmark (placeholder)

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	1	+# ProteinGym mutation effects
	2	+
	3	+> Placeholder. This benchmark is here so the benchmark panel can be tried out. Its baseline is from the blueprint or the literature as of 2026-10-19 and must be checked again; every route and score after it is made up.
	4	+
	5	+## Task
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	7	+Predict how mutations change a protein’s fitness, scored against the 217 deep mutational scanning assays of ProteinGym v1.3: enzyme activity, binding, expression, organismal fitness and stability. The score is the mean Spearman correlation over assays; the baseline is the S2F sequence–structure model at 0.4556, as in AutoSOTA’s report. Routes may use multiple sequence alignments, structures and any public pretrained protein language model.
	8	+
	9	+## How to take part
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	11	+Start a route from `main` (the baseline) or from any route on the leaderboard, keep your files in the route's folder, and push: the verifier scores every commit. Say what your route changes with tags, and keep the misses: a route that scores worse is a result too.