| Literature DB >> 31801986 |
Petra Schneider1, W Patrick Walters2, Alleyn T Plowright3, Norman Sieroka4, Jennifer Listgarten5, Robert A Goodnow6, Jasmin Fisher7,8, Johanna M Jansen9, José S Duca10, Thomas S Rush11, Matthias Zentgraf12, John Edward Hill13, Elizabeth Krutoholow14, Matthias Kohler15, Jeff Blaney16, Kimito Funatsu17,18, Chris Luebkemann1,19, Gisbert Schneider20.
Abstract
Artificial intelligence (AI) tools are increasingly being applied in drug discovery. While some protagonists point to vast opportunities potentially offered by such tools, others remain sceptical, waiting for a clear impact to be shown in drug discovery projects. The reality is probably somewhere in-between these extremes, yet it is clear that AI is providing new challenges not only for the scientists involved but also for the biopharma industry and its established processes for discovering and developing new medicines. This article presents the views of a diverse group of international experts on the 'grand challenges' in small-molecule drug discovery with AI and the approaches to address them.Entities:
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Year: 2019 PMID: 31801986 DOI: 10.1038/s41573-019-0050-3
Source DB: PubMed Journal: Nat Rev Drug Discov ISSN: 1474-1776 Impact factor: 84.694