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Science ; 382(6671): eabo7201, 2023 11 10.
Artigo em Inglês | MEDLINE | ID: mdl-37943932

RESUMO

We report the results of the COVID Moonshot, a fully open-science, crowdsourced, and structure-enabled drug discovery campaign targeting the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) main protease. We discovered a noncovalent, nonpeptidic 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 (>490 ligand-bound x-ray structures), assay data (>10,000 measurements), and synthesized molecules (>2400 compounds) for this campaign were shared rapidly and openly, creating a rich, open, and intellectual property-free knowledge base for future anticoronavirus drug discovery.


Assuntos
Tratamento Farmacológico da COVID-19 , Proteases 3C de Coronavírus , Inibidores de Protease de Coronavírus , Descoberta de Drogas , SARS-CoV-2 , Humanos , Proteases 3C de Coronavírus/antagonistas & inibidores , Proteases 3C de Coronavírus/química , Simulação de Acoplamento Molecular , Inibidores de Protease de Coronavírus/síntese química , Inibidores de Protease de Coronavírus/química , Inibidores de Protease de Coronavírus/farmacologia , Relação Estrutura-Atividade , Cristalografia por Raios X
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