Reinforced Adversarial Neural Computer for de Novo Molecular Design-Reference-Cited by-同舟云学术

Reinforced Adversarial Neural Computer for de Novo Molecular Design

Published:2018-05-15 Issue:6 Volume:58 Page:1194-1204
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Putin Evgeny¹²^ORCID,Asadulaev Arip²,Ivanenkov Yan¹³⁴,Aladinskiy Vladimir¹³,Sanchez-Lengeling Benjamin⁵,Aspuru-Guzik Alán⁵⁶^ORCID,Zhavoronkov Alex¹⁷^ORCID

Affiliation:

1. Pharma.AI Department, Insilico Medicine, Inc, Baltimore, Maryland 21218, United States

2. Computer Technologies Lab, ITMO University, St. Petersburg 197101, Russia

3. Moscow Institute of Physics and Technology (State University), 9 Institutskiy lane, Dolgoprudny City, Moscow Region, 141700, Russian Federation

4. Institute of Biochemistry and Genetics Russian Academy of Science (IBG RAS), Ufa Scientific Centre, Oktyabrya Prospekt 71, 450054, Ufa, Russian Federation

5. Chemistry and Chemical Biology Department, Harvard University, 12 Oxford Street, Cambridge, Massachusetts 02143, United States

6. Biologically-Inspired Solar Energy Program, Canadian Institute for Advanced Research (CIFAR), Toronto, Ontario M5S 1M1, Canada

7. The Buck Institute for Research on Aging, 8001 Redwood Boulevard, Novato, California 94945, United States

Funder

Tata Steel

Ministry of Education and Science of the Russian Federation

Government of the Russian Federation

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

http://pubs.acs.org/doi/pdf/10.1021/acs.jcim.7b00690

Reference46 articles.

1. Lead Generation

2. Tools for GPCR drug discovery

3. Overview of Methods and Strategies for Conducting Virtual Small Molecule Screening

4. High throughput screening technologies for ion channels

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