Drug–target interaction prediction by integrating heterogeneous information with mutual attention network

Drug–target interaction prediction by integrating heterogeneous information with mutual attention network

Abstract Background Identification of drug–target interactions is an indispensable part of drug discovery. While conventional shallow machine learning and recent deep learning methods based on chemogenomic properties of drugs and target proteins have pushed this prediction performance improvement to...

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Bibliographic Details
Main Authors: Yuanyuan Zhang, Yingdong Wang, Chaoyong Wu, Lingmin Zhan, Aoyi Wang, Caiping Cheng, Jinzhong Zhao, Wuxia Zhang, Jianxin Chen, Peng Li
Format: Article
Language:English
Published: BMC 2024-11-01
Series:BMC Bioinformatics
Subjects:
Drug–target interaction
Drug discovery
Heterogeneous network
Self-attention
Deep learning
Online Access:https://doi.org/10.1186/s12859-024-05976-3
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https://doi.org/10.1186/s12859-024-05976-3

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