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Updated: Jun 24, 2025

A Protocol for Computer-Based Protein Structure and Function Prediction
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A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

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图形神经网络具有多种功能,用于使用API和协同构造器的互动预测协同晶体

Medard Edmund Mswahili1, Kyuri Jo1, SeungDong Lee1

  • 1Department of Computer Engineering, Chungbuk National University, Cheongju, 28644, South Korea.

Current medicinal chemistry
|June 7, 2024
PubMed
概括

使用图形神经网络 (GNN) 简化了预测制药共晶形成的过程. 我们的GNN方法,特别是RGCN,与传统方法相比,显著提高了预测准确性,加速了药物开发.

关键词:
图表神经网络的神经网络活性药物成分 (API) 是一种药物成分.共同晶体的形成形成.合作演员. 合作演员.深度学习是一种深度学习.药物的发现和开发.机器学习是机器学习.分子描述器 分子描述器

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