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Discovery of SARS-CoV-2 main protease inhibitors using a synthesis-directed de novo design model.
Morris, Aaron; McCorkindale, William; Consortium, The Covid Moonshot; Drayman, Nir; Chodera, John D; Tay, Savas; London, Nir; Lee, Alpha A.
  • Morris A; PostEra Inc, 2 Embarcadero Centre, San Franciso, CA 94111, USA. alpha.lee@postera.ai.
  • McCorkindale W; Department of Physics, University of Cambridge, CB3 0HE, UK.
  • Consortium TCM; The COVID Moonshot Consortium.
  • Drayman N; The Pritzker School for Molecular Engineering, The University of Chicago, Chicago, IL, USA.
  • Chodera JD; Computational and Systems Biology Program Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
  • Tay S; The Pritzker School for Molecular Engineering, The University of Chicago, Chicago, IL, USA.
  • London N; Department of Organic Chemistry, The Weizmann Institute of Science, Rehovot, 76100, Israel.
  • Lee AA; PostEra Inc, 2 Embarcadero Centre, San Franciso, CA 94111, USA. alpha.lee@postera.ai.
Chem Commun (Camb) ; 57(48): 5909-5912, 2021 Jun 15.
Article in English | MEDLINE | ID: covidwho-1233726
ABSTRACT
The SARS-CoV-2 main viral protease (Mpro) is an attractive target for antivirals given its distinctiveness from host proteases, essentiality in the viral life cycle and conservation across coronaviridae. We launched the COVID Moonshot initiative to rapidly develop patent-free antivirals with open science and open data. Here we report the use of machine learning for de novo design, coupled with synthesis route prediction, in our campaign. We discover novel chemical scaffolds active in biochemical and live virus assays, synthesized with model generated routes.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Antiviral Agents / Cysteine Proteinase Inhibitors / Coronavirus 3C Proteases / SARS-CoV-2 Type of study: Prognostic study Language: English Journal: Chem Commun (Camb) Journal subject: Chemistry Year: 2021 Document Type: Article Affiliation country: D1cc00050k

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Antiviral Agents / Cysteine Proteinase Inhibitors / Coronavirus 3C Proteases / SARS-CoV-2 Type of study: Prognostic study Language: English Journal: Chem Commun (Camb) Journal subject: Chemistry Year: 2021 Document Type: Article Affiliation country: D1cc00050k