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Updated: May 20, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

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优点:准确预测多联体结合残留物与混合深度变压器网络,进化合和转移学习

Jian Zhang1, Sushmita Basu2, Fuhao Zhang3

  • 1School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, China; Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou 324003, China.

Journal of molecular biology
|March 26, 2025
PubMed
概括

MERIT是一种新的深度学习工具,可以直接预测多连接体结合残留物 (MLBRs). 它的性能优于现有的方法,提供了准确的预测,并减少了疾病目标识别的错误阳性.

关键词:
预测 预测 预测 预测蛋白质的功能 蛋白质的功能蛋白质 - 配体相互作用变压器的变压器是一个变压器.网络服务器是Web服务器.

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