相关实验视频

Updated: Jul 20, 2026

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
08:31

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

Published on: December 1, 2020

PocketDTA:一种基于口袋的多式联络深度学习模型,用于药物向 afinity 预测

Jiang Xie1, Shengsheng Zhong1, Dingkai Huang1

  • 1School of Computer Engineering and Science, Shanghai University, Shanghai, 200444, China.

Computational biology and chemistry
|March 12, 2025
PubMed
概括

PocketDTA是一种新的深度学习模型,通过整合蛋白质结构和序列数据来提高药物发现,以准确地预测药物向亲和力. 这种基于口袋的方法可以改善模型的概括性,从而获得更可靠的预测.

关键词:
绑定网站 绑定网站深度学习是一种深度学习.药物目标亲和力这是一个口袋袋.

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