Drug-protein interaction prediction via variational autoencoders and attention mechanisms

Drug-protein interaction prediction via variational autoencoders and attention mechanisms

During the process of drug discovery, exploring drug-protein interactions (DPIs) is a key step. With the rapid development of biological data, computer-aided methods are much faster than biological experiments. Deep learning methods have become popular and are mainly used to extract the characterist...

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Bibliographic Details
Main Authors: Yue Zhang, Yuqing Hu, Huihui Li, Xiaoyong Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Genetics
Subjects:
drug-protein interactions (DPIs)
variational autoencoder (VAE)
attention mechanism
convolutional neural network (CNN)
deep learning - artificial neural network
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2022.1032779/full

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