Deep Learning for Drug Design: an Artificial Intelligence Paradigm for Drug Discovery in the Big Data Era-Reference-Cited by-同舟云学术

Deep Learning for Drug Design: an Artificial Intelligence Paradigm for Drug Discovery in the Big Data Era

Published:2018-03-30 Issue:3 Volume:20 Page:
ISSN:1550-7416
Container-title:The AAPS Journal
language:en
Short-container-title:AAPS J

Author:

Jing Yankang,Bian Yuemin,Hu Ziheng,Wang Lirong,Xie Xiang-Qun Sean^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Pharmaceutical Science

Link

http://link.springer.com/article/10.1208/s12248-018-0210-0/fulltext.html

Reference86 articles.

1. Artificial intelligence: Google’s AlphaGo beats Go master Lee Se-dol. In: Technology. BBC NEWS. 12 March 2016. http://www.bbc.com/news/technology-35785875# . Accessed 15 Dec 2017.

2. Silver D, Huang A, Maddison CJ, Guez A, Sifre L, van den Driessche G, et al. Mastering the game of Go with deep neural networks and tree search. Nature. 2016;529(7587):484–9.

3. Ma C, Wang L, Xie X-Q. GPU accelerated chemical similarity calculation for compound library comparison. J Chem Inf Model. 2011;51(7):1521–7.

4. Baskin II, Winkler D, Tetko IV. A renaissance of neural networks in drug discovery. Expert Opin Drug Discov. 2016;11(8):785–95.

5. McCulloch WS, Pitts W. A logical calculus of the ideas immanent in nervous activity. Bull Math Biophys. 1943;5(4):115–33.

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