A Novel Approach for Drug-Target Interactions Prediction Based on Multimodal Deep Autoencoder

A Novel Approach for Drug-Target Interactions Prediction Based on Multimodal Deep Autoencoder

Drug targets are biomacromolecules or biomolecular structures that bind to specific drugs and produce therapeutic effects. Therefore, the prediction of drug-target interactions (DTIs) is important for disease therapy. Incorporating multiple similarity measures for drugs and targets is of essence for...

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Bibliographic Details
Main Authors: Huiqing Wang, Jingjing Wang, Chunlin Dong, Yuanyuan Lian, Dan Liu, Zhiliang Yan
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-01-01
Series:Frontiers in Pharmacology
Subjects:
drug-target interactions
multiple similarity measures
random walk with restart
positive pointwise mutual information
multimodal deep autoencoder
Online Access:https://www.frontiersin.org/article/10.3389/fphar.2019.01592/full

Internet

https://www.frontiersin.org/article/10.3389/fphar.2019.01592/full

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