bioRxivBiochemistryPreprint
Open Science Discovery of Potent Non-Covalent SARS-CoV-2 Main Protease Inhibitors
M. L. Bobby, D. FearoniD, M. Ferla, M. Filep, L. KoekemoeriD, M. C. Robinson, The COVID Moonshot Consortium, J. D. Chodera, A. A. Lee, N. London, A. von Delft, F. von DelftiD
Abstract
We report the results of the COVID Moonshot, a fully open-science, crowd sourced, structure-enabled drug discovery campaign targeting the SARS-CoV-2 main protease. We discovered a non-covalent, non-peptidic inhibitor scaffold with lead-like properties that is differentiated from current main protease inhibitors. Our approach leveraged crowdsourcing, machine learning, exascale molecular simulations, and high-throughput structural biology and chemistry. We generated a detailed map of the structural plasticity of the SARS-CoV-2 main protease, extensive structure-activity relationships for multiple chemotypes, and a wealth of biochemical activity data. All compound designs (>18,000 designs), crystallographic data (>840 ligand-bound X-ray structures), assay data (>10,000 measurements), and synthesized molecules (>2,400 compounds) for this campaign were shared rapidly and openly, creating a rich open and IP-free knowledgebase for future anti-coronavirus drug discovery.
- organism: virus
- assay: structural biology
- research focus: drug response / drug discovery
- approach: deep learning
- approach: simulation
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