GANsDTA: Predicting Drug-Target Binding Affinity Using GANs

GANsDTA: Predicting Drug-Target Binding Affinity Using GANs

The computational prediction of interactions between drugs and targets is a standing challenge in drug discovery. State-of-the-art methods for drug-target interaction prediction are primarily based on supervised machine learning with known label information. However, in biomedicine, obtaining labele...

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Bibliographic Details
Main Authors: Lingling Zhao, Junjie Wang, Long Pang, Yang Liu, Jun Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-01-01
Series:Frontiers in Genetics
Subjects:
drug-target affinity prediction
deep learning
semi-supervised
generative adversarial networks
convolutional neural networks
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2019.01243/full

Internet

https://www.frontiersin.org/article/10.3389/fgene.2019.01243/full

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