Deep learning enables discovery of highly potent anti-osteoporosis natural products-Reference-Cited by-同舟云学术

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Deep learning enables discovery of highly potent anti-osteoporosis natural products

Published:2021-01 Issue: Volume:210 Page:112982
ISSN:0223-5234
Container-title:European Journal of Medicinal Chemistry
language:en
Short-container-title:European Journal of Medicinal Chemistry

Author:

Liu Zhihong,Huang Dane,Zheng Shuangjia,Song Ying,Liu Bingdong,Sun Jingyuan^ORCID,Niu Zhangming^ORCID,Gu Qiong,Xu Jun,Xie Liwei

Funder

National Natural Science Foundation of China

GDAS′ Project of Science and Technology Development

Natural Science Foundation of Guangdong Province China

Medical Scientific Research Foundation of Guangdong Province of China

Publisher

Elsevier BV

Subject

Organic Chemistry,Drug Discovery,Pharmacology,General Medicine

Reference55 articles.

1. Deep learning in drug discovery;Gawehn;Mol. Inform.,2016

2. Deep learning for drug design: an artificial intelligence paradigm for drug discovery in the big data era;Jing;AAPS J.,2018

3. Artificial intelligence in drug design;Zhong;Sci. China Life Sci.,2018

4. From machine learning to deep learning: progress in machine intelligence for rational drug discovery;Zhang;Drug Discov. Today,2017

5. Concepts of artificial intelligence for computer-assisted drug discovery;Yang;Chem. Rev.,2019

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