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Updated: Jul 6, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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MulinforCPI:通过对多层次信息整合的新视角,提高化合物-蛋白相互作用预测的精度

Ngoc-Quang Nguyen1, Sejeong Park1,2, Mogan Gim1

  • 1Department of Computer Science and Engineering, Korea University, 02841, Seoul, Korea.

Briefings in bioinformatics
|January 5, 2024
PubMed
概括

本研究介绍了MulinforCPI,这是一种新的深度学习方法,通过整合3D结构数据来预测化合物-蛋白相互作用. 这种方法通过提高对分子结合的理解来增强药物发现.

关键词:
3D几何信息 3D几何信息化合物蛋白相互作用相互注意的注意力交叉.多层次的信息信息.转移学习转移学习

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