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review article

Advancing Drug Discovery via Artificial Intelligence

Chan, H. C. Stephen
•
Shan, Hanbin
•
Dahoun, Thamani  
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August 1, 2019
Trends In Pharmacological Sciences

Drug discovery and development are among the most important translational science activities that contribute to human health and wellbeing. However, the development of a new drug is a very complex, expensive, and long process which typically costs 2.6 billion USD and takes 12 years on average. How to decrease the costs and speed up new drug discovery has become a challenging and urgent question in industry. Artificial intelligence (AI) combined with new experimental technologies is expected to make the hunt for new pharmaceuticals quicker, cheaper, and more effective. We discuss here emerging applications of AI to improve the drug discovery process.

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Type
review article
DOI
10.1016/j.tips.2019.06.004
Web of Science ID

WOS:000476996500009

Author(s)
Chan, H. C. Stephen
•
Shan, Hanbin
•
Dahoun, Thamani  
•
Vogel, Horst  
•
Yuan, Shuguang  
Date Issued

2019-08-01

Publisher

ELSEVIER SCIENCE LONDON

Published in
Trends In Pharmacological Sciences
Volume

40

Issue

8

Start page

592

End page

604

Subjects

Pharmacology & Pharmacy

•

Pharmacology & Pharmacy

•

matched molecular pairs

•

deep neural-networks

•

physical-properties

•

automated synthesis

•

yield prediction

•

machine

•

computer

•

design

•

docking

•

binding

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LCPPM  
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August 8, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/159615
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