ESMFold author: AlphaFold-style covariation could unlock small-molecule prediction

sokrypton · x · 2026-11-04

In a discussion on the huge search space of protein-ligand binding prediction, sokrypton (ESMFold author) explains his idea: AlphaFold succeeds by exploiting covariation in unlabeled protein sequences across thousands of organisms. He suggests collecting analogous data — e.g., presence/absence of small molecules per organism — might yield similar statistics for small-molecule modeling.

Related event: ESMFold author proposes tree-of-life ligand data to replicate AlphaFold-style breakthrough for small molecules(5 posts)→

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