Deep Learning Applications for Predicting Pharmacological Properties of Drugs and Drug Repurposing Using Transcriptomic Data-Reference-Cited by-同舟云学术

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Deep Learning Applications for Predicting Pharmacological Properties of Drugs and Drug Repurposing Using Transcriptomic Data

Published:2016-06-08 Issue:7 Volume:13 Page:2524-2530
ISSN:1543-8384
Container-title:Molecular Pharmaceutics
language:en
Short-container-title:Mol. Pharmaceutics

Author:

Aliper Alexander¹,Plis Sergey²³,Artemov Artem¹,Ulloa Alvaro³,Mamoshina Polina¹,Zhavoronkov Alex¹⁴

Affiliation:

1. Insilico Medicine, ETC, B301, Johns Hopkins University, Baltimore, Maryland 21218, United States

2. Datalytic Solutions, 1101 Yale Boulevard NE, Albuquerque, New Mexico 87106, United States

3. The Mind Research Network, Albuquerque, New Mexico 87106, United States

4. The Biogerontology Research Foundation, Oxford, U.K.

Publisher

American Chemical Society (ACS)

Subject

Drug Discovery,Pharmaceutical Science,Molecular Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.molpharmaceut.6b00248

Reference40 articles.

1. Erratum: High-throughput electronic biology: mining information for drug discovery

2. Predicting drug metabolism: experiment and/or computation?

3. Identifying compound efficacy targets in phenotypic drug discovery

4. Deep learning

5. Searching for exotic particles in high-energy physics with deep learning

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