Advancing Drug Discovery via Artificial Intelligence.

Journal: Trends in pharmacological sciences
Published Date: Jul 15, 2019

Abstract

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.

Authors

  • H C Stephen Chan
    Research Center for Computer-Aided Drug Discovery, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; AlphaMol Science Ltd, CH-4123 Allschwil, Switzerland.
  • Hanbin Shan
    Shanghai Institute of Pharmaceutical Industry, Shanghai 200040, China.
  • Thamani Dahoun
    AlphaMol Science Ltd, CH-4123 Allschwil, Switzerland; Institute of Chemical Science and Engineering (ISIC), Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland.
  • Horst Vogel
    AlphaMol Science Ltd, CH-4123 Allschwil, Switzerland; Institute of Chemical Science and Engineering (ISIC), Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland.
  • Shuguang Yuan
    Research Center for Computer-Aided Drug Discovery, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; AlphaMol Science Ltd, CH-4123 Allschwil, Switzerland; Institute of Chemical Science and Engineering (ISIC), Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland. Electronic address: shuguang.yuan@gmail.com.

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