ESM-1v

Panoramica

ESM-1v is an ensemble of five 650M-parameter protein language models trained to predict the functional consequences of single amino acid mutations across thousands of diverse proteins without training on experimental labels.

Informazioni verificate rispetto a una fonte ufficiale; non un test pratico. Fonte · Ultima revisione: 20/09/2026, 11:10:15 UTC

Caratteristiche principali

• State-of-the-art zero-shot variant effect prediction across 41 deep mutational scanning datasets
• Ensemble of five distinct models trained on UniRef90 with different random seeds
• Captures epistatic and structural constraints directly from evolutionary sequences
• Standard benchmark baseline in computational biology for mutation scoring

Ultime notizie

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