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Updated: Jul 24, 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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基于结构的神经网络蛋白质-碳水化合物相互作用预测在残留水平

Samuel W Canner1, Sudhanshu Shanker2, Jeffrey J Gray1,2

  • 1Program in Molecular Biophysics, The Johns Hopkins University, Baltimore, MD, United States.

Frontiers in bioinformatics
|July 6, 2023
PubMed
概括

我们开发了两个深度学习模型,CAPSIF:V和CAPSIF:G,以识别蛋白质上的碳水化合物结合位点. CAPSIF:V表现出卓越的性能,在实验和预测的蛋白质结构上准确预测这些关键的相互作用点.

关键词:
深度学习是一种深度学习.糖甘结合的结合物神经网络的神经网络的神经网络结合性寡糖类的结合性.蛋白质碳水化合物结合网站预测 预测 预测

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