MDGNN: Microbial Drug Prediction Based on Heterogeneous Multi-Attention Graph Neural Network

MDGNN: Microbial Drug Prediction Based on Heterogeneous Multi-Attention Graph Neural Network

Human beings are now facing one of the largest public health crises in history with the outbreak of COVID-19. Traditional drug discovery could not keep peace with newly discovered infectious diseases. The prediction of drug-virus associations not only provides insights into the mechanism of drug–vir...

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Bibliographic Details
Main Authors: Jiangsheng Pi, Peishun Jiao, Yang Zhang, Junyi Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Microbiology
Subjects:
antimicrobial drug prediction
graph convolution networks (GCN)
heterogeneous network (Het-Net)
representation learning
SARS-CoV-2
Online Access:https://www.frontiersin.org/articles/10.3389/fmicb.2022.819046/full

Internet

https://www.frontiersin.org/articles/10.3389/fmicb.2022.819046/full

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