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Updated: Jan 13, 2026

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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加强联合学习,在异构的跨药物领域进行强大的化合物-蛋白相互作用预测

Takuto Koyama1, Hiroaki Iwata2, Ryosuke Kojima1,3

  • 1Graduate School of Medicine, Kyoto University, Kyoto, Japan.

Journal of cheminformatics
|January 10, 2026
PubMed
概括

联合学习 (FL) 通过整合私人数据来改善药物发现,以预测化合物-蛋白相互作用 (CPI). 一种新的相似性指导集 (SGE) 方法提高了跨不同数据集的模型准确性.

关键词:
化合物-蛋白质相互作用联合学习是联合学习.

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