Drug–target affinity prediction with extended graph learning-convolutional networks

Drug–target affinity prediction with extended graph learning-convolutional networks

Abstract Background High-performance computing plays a pivotal role in computer-aided drug design, a field that holds significant promise in pharmaceutical research. The prediction of drug–target affinity (DTA) is a crucial stage in this process, potentially accelerating drug development through rap...

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Bibliographic Details
Main Authors: Haiou Qi, Ting Yu, Wenwen Yu, Chenxi Liu
Format: Article
Language:English
Published: BMC 2024-02-01
Series:BMC Bioinformatics
Subjects:
Drug–target affinity prediction
Deep learning
Drug discovery
Graph learning-convolutional networks
Online Access:https://doi.org/10.1186/s12859-024-05698-6

Internet

https://doi.org/10.1186/s12859-024-05698-6

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