Predicting drug-target interactions from drug structure and protein sequence using novel convolutional neural networks

Predicting drug-target interactions from drug structure and protein sequence using novel convolutional neural networks

Abstract Background Accurate identification of potential interactions between drugs and protein targets is a critical step to accelerate drug discovery. Despite many relative experimental researches have been done in the past decades, detecting drug-target interactions (DTIs) remains to be extremely...

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Bibliographic Details
Main Authors:	ShanShan Hu, Chenglin Zhang, Peng Chen, Pengying Gu, Jun Zhang, Bing Wang
Format:	Article
Language:	English
Published:	BMC 2019-12-01
Series:	BMC Bioinformatics
Subjects:	Drug-target interactions CNN Protein sequence Ensemble method
Online Access:	https://doi.org/10.1186/s12859-019-3263-x

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