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Updated: Sep 10, 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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PepBAN:深度学习框架与双线注意力和对抗性学习用于蛋白相互作用预测

Shuaiyan Li1, Xiaorui Wang1, Yuchen Zhu1

  • 1College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China.

Journal of chemical information and modeling
|August 25, 2025
PubMed
概括

PepBAN是一个深度学习框架,使用ESM-2等先进模型准确预测蛋白相互作用 (PepPI). 它在概括和解释相互作用机制方面表现出色,优于线性和循环的现有方法.

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Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
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