Quantum computing's potential for drug discovery: Early stage industry dynamics.

Computational drug design Drug development Drug discovery Pharmaceutical industry Quantum computing Quantum technology Technology adoption

Journal

Drug discovery today
ISSN: 1878-5832
Titre abrégé: Drug Discov Today
Pays: England
ID NLM: 9604391

Informations de publication

Date de publication:
07 2021
Historique:
received: 18 01 2021
revised: 08 03 2021
accepted: 06 06 2021
pubmed: 14 6 2021
medline: 18 1 2022
entrez: 13 6 2021
Statut: ppublish

Résumé

Quantum computing (QC) is expected to revolutionize drug research by performing tasks classical supercomputers are not capable of. However, practically useful quantum computation is not yet a reality, and thus it is still unclear when and whether QC will be capable of solving real-world issues in drug discovery. By identifying the QC-related activities of pharmaceutical companies, startups, and academia in the field of drug discovery and development, we show that QC has gained traction across all of these stakeholder groups, that there is focus on developing utilities related to lead optimization and compound screening, and that there is a need for collaboration in the highly dynamic QC ecosystem.

Identifiants

pubmed: 34119668
pii: S1359-6446(21)00275-0
doi: 10.1016/j.drudis.2021.06.003
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1680-1688

Informations de copyright

Copyright © 2021. Published by Elsevier Ltd.

Auteurs

Maximillian Zinner (M)

Didactics and Educational Research in Health Care, Faculty of Health, School of Medicine, Witten/Herdecke University, Germany.

Florian Dahlhausen (F)

Didactics and Educational Research in Health Care, Faculty of Health, School of Medicine, Witten/Herdecke University, Germany.

Philip Boehme (P)

Faculty of Health, School of Medicine, Witten/Herdecke University, Germany.

Jan Ehlers (J)

Didactics and Educational Research in Health Care, Faculty of Health, School of Medicine, Witten/Herdecke University, Germany.

Linn Bieske (L)

Faculty of Health, School of Medicine, Witten/Herdecke University, Germany.

Leonard Fehring (L)

Faculty of Health, School of Medicine, Witten/Herdecke University, Germany. Electronic address: leonard.fehring@googlemail.com.

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Classifications MeSH