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Updated: Jul 27, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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一个基于GU-Net的架构预测了连接体与蛋白质结合的原子

Fatemeh Nazem1,2, Fahimeh Ghasemi2, Afshin Fassihi3

  • 1Department of Bioelectrics and Biomedical Engineering, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.

Journal of medical signals and sensors
|June 9, 2023
PubMed
概括

这项研究介绍了GU-Net,一个用于预测蛋白质结合位点的图形卷积神经网络. GU-Net比随机森林分类器准确地识别了更多具有精确形状的口袋,从而推动了药物发现.

关键词:
图表卷积神经网络的神经网络.点云语义细分点云语义细分蛋白联体结合点的位置.三维U-Net模型模型

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