Drug-target interaction prediction using semi-bipartite graph model and deep learning

Drug-target interaction prediction using semi-bipartite graph model and deep learning

Abstract Background Identifying drug-target interaction is a key element in drug discovery. In silico prediction of drug-target interaction can speed up the process of identifying unknown interactions between drugs and target proteins. In recent studies, handcrafted features, similarity metrics and...

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Bibliographic Details
Main Authors: Hafez Eslami Manoochehri, Mehrdad Nourani
Format: Article
Language:English
Published: BMC 2020-07-01
Series:BMC Bioinformatics
Subjects:
Drug-target interaction
Link prediction
Deep learning
Weisfeiler-Lehman algorithm
Online Access:http://link.springer.com/article/10.1186/s12859-020-3518-6

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http://link.springer.com/article/10.1186/s12859-020-3518-6

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