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教AI说蛋白质语言的方法

Michael Heinzinger1, Burkhard Rost2

  • 1TUM (Technical University of Munich), School of Computation, Information and Technology (CIT), Faculty of Informatics, Chair of Bioinformatics & Computational Biology - i12, Boltzmannstr. 3, 85748 Garching, Munich, Germany.

Current opinion in structural biology
|February 22, 2025
PubMed
概括

蛋白质语言模型 (pLMs) 通过解释蛋白质序列来提升蛋白质的预测和设计. 微调的plm提高了准确性,特别是有限的数据,整合人工智能和实验生物学用于新型蛋白质的发现.

关键词:
人工智能的人工智能是人工智能.深度学习是一种深度学习.大型语言模型.蛋白质预测的预测

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