VGAEDTI: drug-target interaction prediction based on variational inference and graph autoencoder

VGAEDTI: drug-target interaction prediction based on variational inference and graph autoencoder

Abstract Motivation Accurate identification of Drug-Target Interactions (DTIs) plays a crucial role in many stages of drug development and drug repurposing. (i) Traditional methods do not consider the use of multi-source data and do not consider the complex relationship between data sources. (ii) Ho...

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Bibliographic Details
Main Authors: Yuanyuan Zhang, Yinfei Feng, Mengjie Wu, Zengqian Deng, Shudong Wang
Format: Article
Language:English
Published: BMC 2023-07-01
Series:BMC Bioinformatics
Subjects:
Drug-target interaction prediction
Variational inference
Graph autoencoder
Variational expected maximum algorithm
Drug repurposing
Online Access:https://doi.org/10.1186/s12859-023-05387-w

Internet

https://doi.org/10.1186/s12859-023-05387-w

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