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Updated: Feb 12, 2026

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以evotuned蛋白质语言模型推断特定环境的位点变化.

Spyros Lytras1, Adam Strange1, Jumpei Ito1,2

  • 1Division of Systems Virology, Department of Microbiology and Immunology, The Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan.

NAR genomics and bioinformatics
|February 11, 2026
PubMed
概括

蛋白质语言模型 (pLMs) 提供了一种从单个序列研究蛋白质多样性的新方法. 一个基于pLM的新度量有效地预测了位点的变异性,特别是当模型对相关蛋白质进行微调时.

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