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Updated: Jun 29, 2025

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使用多图形卷积网络预测药物和G蛋白结合受体之间的关联

Yuxun Luo1, Shasha Li2, Li Peng1

  • 1School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, Hunan 411201, China; Hunan Key Laboratory for Service Computing and Novel Software Technology, Hunan University of Science and Technology, Xiangtan, Hunan 411201, China.

Computational biology and chemistry
|April 5, 2024
PubMed
概括

这项研究引入了一种用于药物重定向的新型深度学习模型,增强了新药-G蛋白结合受体 (GPCR) 相互作用的发现. 多图形卷积网络模型有效地集成各种数据源,以提高预测准确性.

关键词:
深度学习是一种深度学习.药物 药物 药物 是一种药物.G 蛋白结合受体的受体.图表 卷积网络 卷积网络

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