蛋白酶
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
计算生物学
2019年冠状病毒病(COVID-19)
化学
2019-20冠状病毒爆发
生物
酶
生物化学
病毒学
医学
病理
爆发
疾病
传染病(医学专业)
作者
Melissa L. Boby,D. Fearon,Matteo P. Ferla,Mihajlo Filep,L. Koekemoer,Matthew C. Robinson,John D. Chodera,Alpha A. Lee,Nir London,Annette von Delft,F. von Delft,Hagit Achdout,A. Aimon,Dominic S. Alonzi,Robert Arbon,Jasmin C. Aschenbrenner,Blake H. Balcomb,Elad Bar-David,Haim Barr,Amir Ben‐Shmuel
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2023-11-09
卷期号:382 (6671)
被引量:86
标识
DOI:10.1126/science.abo7201
摘要
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.
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