Entangled Conditional Adversarial Autoencoder for de Novo Drug Discovery-Reference-Cited by-同舟云学术

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Entangled Conditional Adversarial Autoencoder for de Novo Drug Discovery

Published:2018-09-04 Issue:10 Volume:15 Page:4398-4405
ISSN:1543-8384
Container-title:Molecular Pharmaceutics
language:en
Short-container-title:Mol. Pharmaceutics

Author:

Polykovskiy Daniil¹²^ORCID,Zhebrak Alexander¹^ORCID,Vetrov Dmitry²^ORCID,Ivanenkov Yan¹³⁴^ORCID,Aladinskiy Vladimir¹⁴^ORCID,Mamoshina Polina¹^ORCID,Bozdaganyan Marine¹^ORCID,Aliper Alexander¹^ORCID,Zhavoronkov Alex¹^ORCID,Kadurin Artur¹⁵^ORCID

Affiliation:

1. Insilico Medicine, Rockville, Maryland 20850, United States

2. National Research University Higher School of Economics, Moscow 101000, Russia

3. Institute of Biochemistry and Genetics Russian Academy of Science, Ufa, 450054, Russia

4. Moscow Institute of Physics and Technology (State University), Moscow Region, 141700, Russia

5. Insilico Taiwan, Taipei City 115, Taiwan R.O.C

Funder

Russian Science Foundation

Ministry of Education and Science of the Russian Federation

Publisher

American Chemical Society (ACS)

Subject

Drug Discovery,Pharmaceutical Science,Molecular Medicine

Link

http://pubs.acs.org/doi/pdf/10.1021/acs.molpharmaceut.8b00839

Reference60 articles.

1. Deep learning for computational biology

2. Applications of Deep Learning in Biomedicine

3. Deep learning for healthcare: review, opportunities and challenges

4. The rise of deep learning in drug discovery

5. Opportunities and obstacles for deep learning in biology and medicine

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