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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Vydané v:	IEEE/ACM transactions on computational biology and bioinformatics Ročník 21; číslo 4; s. 948 - 958
Hlavní autori:	Li, Yuhui, Liang, Wei, Peng, Li, Zhang, Dafang, Yang, Cheng, Li, Kuan-Ching
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.07.2024
Predmet:	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
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