Quantum computing for near-term applications in generative chemistry and drug discovery.

Journal: Drug discovery today
PMID:

Abstract

In recent years, drug discovery and life sciences have been revolutionized with machine learning and artificial intelligence (AI) methods. Quantum computing is touted to be the next most significant leap in technology; one of the main early practical applications for quantum computing solutions is predicted to be in quantum chemistry simulations. Here, we review the near-term applications of quantum computing and their advantages for generative chemistry and highlight the challenges that can be addressed with noisy intermediate-scale quantum (NISQ) devices. We also discuss the possible integration of generative systems running on quantum computers into established generative AI platforms.

Authors

  • Alexey Pyrkov
    Insilico Medicine Hong Kong Ltd, Pak Shek Kok, New Territories, Hong Kong. Electronic address: a.pyrkov@insilicomedicine.com.
  • Alex Aliper
    Pharma.AI Department , Insilico Medicine, Inc. , Baltimore , Maryland 21218 , United States.
  • Dmitry Bezrukov
    Insilico Medicine Kong Kong Ltd., Unit 310, 3/F, Building 8W, Phase 2, Hong Kong Science Park, Pak Shek Kok, Hong Kong.
  • Yen-Chu Lin
    Insilico Medicine Taiwan Ltd., Taipei 110208, Taiwan.
  • Daniil Polykovskiy
    Insilico Medicine , Baltimore , Maryland 21218 , United States.
  • Petrina Kamya
    Insilico Medicine Canada Inc., 3710-1250 René-Lévesque Blvd W, Montreal, Quebec, H3B 4W8 Canada.
  • Feng Ren
    Insilico Medicine Hong Kong Ltd., Hong Kong Science and Technology Park, New Territories, Hong Kong, China.
  • Alex Zhavoronkov
    Pharmaceutical Artificial Intelligence Department, Insilico Medicine, Inc., Emerging Technology Centers, Johns Hopkins University at Eastern, Baltimore, Maryland, USA.