Predicting Drug-Target Interactions Via Dual-Stream Graph Neural Network

Drug target interaction prediction is a crucial stage in drug discovery. However, brute-force search over a compound database is financially infeasible. We have witnessed the increasing measured drug-target interactions records in recent years, and the rich drug/protein-related information allows th...

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Veröffentlicht in:	IEEE/ACM transactions on computational biology and bioinformatics Jg. 21; H. 4; S. 948 - 958
Hauptverfasser:	Li, Yuhui, Liang, Wei, Peng, Li, Zhang, Dafang, Yang, Cheng, Li, Kuan-Ching
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.07.2024
Schlagworte:	Deep learning Diffusion tensor imaging Diseases drug-target interactions Drugs graph neural network Machine learning matrix completion Predictive models Proteins Task analysis
ISSN:	1545-5963, 1557-9964, 1557-9964
Online-Zugang:	Volltext
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