Identification of Drug-Disease Associations Using Information of Molecular Structures and Clinical Symptoms via Deep Convolutional Neural Network

Identification of Drug-Disease Associations Using Information of Molecular Structures and Clinical Symptoms via Deep Convolutional Neural Network

Identifying drug-disease associations is helpful for not only predicting new drug indications and recognizing lead compounds, but also preventing, diagnosing, treating diseases. Traditional experimental methods are time consuming, laborious and expensive. Therefore, it is urgent to develop computati...

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Bibliographic Details
Main Authors: Zhanchao Li, Qixing Huang, Xingyu Chen, Yang Wang, Jinlong Li, Yun Xie, Zong Dai, Xiaoyong Zou
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-01-01
Series:Frontiers in Chemistry
Subjects:
convolutional neural network
deep learning
drug-disease associations
fingerprint
symptoms
Online Access:https://www.frontiersin.org/article/10.3389/fchem.2019.00924/full

Internet

https://www.frontiersin.org/article/10.3389/fchem.2019.00924/full

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