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10.1039/d1cc00050k

http://scihub22266oqcxt.onion/10.1039/d1cc00050k
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34008627!8204246!34008627
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suck abstract from ncbi


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pmid34008627      Chem+Commun+(Camb) 2021 ; 57 (48): 5909-5912
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  • Discovery of SARS-CoV-2 main protease inhibitors using a synthesis-directed de novo design model #MMPMID34008627
  • Morris A; McCorkindale W; Consortium TCM; Drayman N; Chodera JD; Tay S; London N; Lee AA
  • Chem Commun (Camb) 2021[Jun]; 57 (48): 5909-5912 PMID34008627show ga
  • 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.
  • |Antiviral Agents/chemical synthesis/*pharmacology[MESH]
  • |Coronavirus 3C Proteases/*antagonists & inhibitors[MESH]
  • |Coronavirus OC43, Human/drug effects[MESH]
  • |Cysteine Proteinase Inhibitors/chemical synthesis/*pharmacology[MESH]
  • |Drug Design[MESH]
  • |Drug Discovery/methods[MESH]
  • |Machine Learning[MESH]
  • |Microbial Sensitivity Tests[MESH]


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