What does a language model know about proteins?

IF 32.1 1区生物学 Q1 BIOCHEMICAL RESEARCH METHODS

Nature Methods Pub Date : 2025-09-29 DOI:10.1038/s41592-025-02837-6

Jeffrey A. Ruffolo

引用次数: 0

Abstract

A new approach sheds light on the biological features learned by protein language models, promising greater interpretability for unsupervised sequence learning.

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语言模型对蛋白质了解多少？

一种新的方法揭示了通过蛋白质语言模型学习的生物学特征，有望为无监督序列学习提供更大的可解释性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nature Methods 生物-生化研究方法

CiteScore

58.70

自引率

1.70%

发文量

326

审稿时长

1 months

期刊介绍： Nature Methods is a monthly journal that focuses on publishing innovative methods and substantial enhancements to fundamental life sciences research techniques. Geared towards a diverse, interdisciplinary readership of researchers in academia and industry engaged in laboratory work, the journal offers new tools for research and emphasizes the immediate practical significance of the featured work. It publishes primary research papers and reviews recent technical and methodological advancements, with a particular interest in primary methods papers relevant to the biological and biomedical sciences. This includes methods rooted in chemistry with practical applications for studying biological problems.