蛋白质-蛋白质接口:一个图形神经网络方法

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Updated: Jun 23, 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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Niccolò Pancino1, Caterina Gallegati1, Fiamma Romagnoli1

  • 1Department of Information Engineering and Mathematics, University of Siena, Via Roma, 56, 53100 Siena, Italy.

International journal of molecular sciences
|June 19, 2024
PubMed
概括

图形神经网络 (GNN) 通过分析蛋白质结构作为图表,有效地预测蛋白质-蛋白质相互作用 (PPI). 这种计算方法为实验方法提供了一个具有成本效益的替代方案,用于识别交互点.

关键词:
人工智能的人工智能是人工智能.生物信息学是一种生物信息学.深度学习是一种深度学习.图形神经网络的神经网络蛋白质图表 蛋白质图表蛋白质接口 蛋白质接口蛋白质蛋白质相互作用

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