Affiliation:
1. College of Information Science and Engineering, Huaide College of Changzhou University, Taizhou 214500, China
2. Institute of Bioinformatics and Medical Engineering, Jiangsu University of Technology, Changzhou 213001, China
Abstract
Deep learning, an emerging field of artificial intelligence based on neural networks in machine learning,
has been applied in various fields and is highly valued. Herein, we mainly review several mainstream architectures
in deep learning, including deep neural networks, convolutional neural networks and recurrent neural
networks in the field of drug discovery. The applications of these architectures in molecular de novo design,
property prediction, biomedical imaging and synthetic planning have also been explored. Apart from that, we
further discuss the future direction of the deep learning approaches and the main challenges we need to address.
Funder
Six Talent Peaks Project in Jiangsu Province
Natural Science Foundation of Jiangsu Province
National Science Foundation of China
Publisher
Bentham Science Publishers Ltd.
Subject
Drug Discovery,Pharmacology
Cited by
11 articles.
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