HGDTI: predicting drug–target interaction by using information aggregation based on heterogeneous graph neural network

HGDTI: predicting drug–target interaction by using information aggregation based on heterogeneous graph neural network

Abstract Background In research on new drug discovery, the traditional wet experiment has a long period. Predicting drug–target interaction (DTI) in silico can greatly narrow the scope of search of candidate medications. Excellent algorithm model may be more effective in revealing the potential conn...

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Bibliographic Details
Main Authors: Liyi Yu, Wangren Qiu, Weizhong Lin, Xiang Cheng, Xuan Xiao, Jiexia Dai
Format: Article
Language:English
Published: BMC 2022-04-01
Series:BMC Bioinformatics
Subjects:
Drug–target interaction
Graph neural network
Molecular fingerprint
Pseudo amino acid composition
Online Access:https://doi.org/10.1186/s12859-022-04655-5

Internet

https://doi.org/10.1186/s12859-022-04655-5

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