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Ensemble docking based virtual screening of SARS-CoV-2 main protease inhibitors.
Fomina, Anastasia D; Uvarova, Victoria I; Kozlovskaya, Liubov I; Palyulin, Vladimir A; Osolodkin, Dmitry I; Ishmukhametov, Aydar A.
Afiliação
  • Fomina AD; FSASI "Chumakov FSC R&D IBP RAS" (Institute of Poliomyelitis), 108819, Moscow, Russia.
  • Uvarova VI; Department of Chemistry, Lomonosov Moscow State University, 119991, Moscow, Russia.
  • Kozlovskaya LI; FSASI "Chumakov FSC R&D IBP RAS" (Institute of Poliomyelitis), 108819, Moscow, Russia.
  • Palyulin VA; FSASI "Chumakov FSC R&D IBP RAS" (Institute of Poliomyelitis), 108819, Moscow, Russia.
  • Osolodkin DI; Institute of Translational Medicine and Biotechnology, Sechenov First Moscow State Medical University, 119991, Moscow, Russia.
  • Ishmukhametov AA; Department of Chemistry, Lomonosov Moscow State University, 119991, Moscow, Russia.
Mol Inform ; : e202300279, 2024 Jul 08.
Article em En | MEDLINE | ID: mdl-38973780
ABSTRACT
During the first years of COVID-19 pandemic, X-ray structures of the coronavirus drug targets were acquired at an unprecedented rate, giving hundreds of PDB depositions in less than a year. The main protease (Mpro) of severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) is the primary validated target of direct-acting antivirals. The selection of the optimal ensemble of structures of Mpro for the docking-driven virtual screening campaign was thus non-trivial and required a systematic and automated approach. Here we report a semi-automated active site RMSD based procedure of ensemble selection from the SARS-CoV-2 Mpro crystallographic data and virtual screening of its inhibitors. The procedure was compared with other approaches to ensemble selection and validated with the help of hand-picked and peer-reviewed activity-annotated libraries. Prospective virtual screening of non-covalent Mpro inhibitors resulted in a new chemotype of thienopyrimidinone derivatives with experimentally confirmed enzyme inhibition.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Mol Inform Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Federação Russa

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Mol Inform Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Federação Russa
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