ESM-1v

概览介绍

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.

信息已比对权威文献或官方白皮书；非实验性跑分。 权威出处 · 最后核对: 20/09/2026, 11:10:15 UTC

核心功能特性

• 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

最新研究动态

暂无与此工具关联的已验证学术动态。

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