GACNNMDA: a computational model for predicting potential human microbe-drug associations based on graph attention network and CNN-based classifier

GACNNMDA: a computational model for predicting potential human microbe-drug associations based on graph attention network and CNN-based classifier

Abstract As new drug targets, human microbes are proven to be closely related to human health. Effective computational methods for inferring potential microbe-drug associations can provide a useful complement to conventional experimental methods and will facilitate drug research and development. How...

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Bibliographic Details
Main Authors:	Qing Ma, Yaqin Tan, Lei Wang
Format:	Article
Language:	English
Published:	BMC 2023-02-01
Series:	BMC Bioinformatics
Subjects:	Microbe-drug associations Graph attention network Convolutional neural network Computational model Prediction model
Online Access:	https://doi.org/10.1186/s12859-023-05158-7

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