Discarding Singletons May Harm Protein Language Model Training

KevinKaichuang · x · 2026-08-18

When training protein language models (PLMs), it is standard practice to discard metagenomic proteins that do not cluster with at least one other protein (singletons).

New research suggests this is likely not the right strategy. The work demonstrates the value of retaining this data and pairs well with findings from ESMC / ESM Fold 2 and Dayhoff, contributing significantly to improving PLM data quality.

Related event: Microsoft Research: Dropping Singleton Proteins in PLM Training May Be Wrong(3 posts)→

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