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

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