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Discovery of SARS-CoV-2 Mpro peptide inhibitors from modelling substrate and ligand binding.
Chan, H T Henry; Moesser, Marc A; Walters, Rebecca K; Malla, Tika R; Twidale, Rebecca M; John, Tobias; Deeks, Helen M; Johnston-Wood, Tristan; Mikhailov, Victor; Sessions, Richard B; Dawson, William; Salah, Eidarus; Lukacik, Petra; Strain-Damerell, Claire; Owen, C David; Nakajima, Takahito; Swiderek, Katarzyna; Lodola, Alessio; Moliner, Vicent; Glowacki, David R; Spencer, James; Walsh, Martin A; Schofield, Christopher J; Genovese, Luigi; Shoemark, Deborah K; Mulholland, Adrian J; Duarte, Fernanda; Morris, Garrett M.
Afiliação
  • Chan HTH; Chemistry Research Laboratory, Department of Chemistry and the Ineos Oxford Institute for Antimicrobial Research 12 Mansfield Road Oxford OX1 3TA UK fernanda.duartegonzalez@chem.ox.ac.uk christopher.schofield@chem.ox.ac.uk.
  • Moesser MA; Department of Statistics, University of Oxford 24-29 St Giles' Oxford OX1 3LB UK garrett.morris@stats.ox.ac.uk.
  • Walters RK; Centre for Computational Chemistry, School of Chemistry, University of Bristol Cantock's Close Bristol BS8 1TS UK adrian.mulholland@bristol.ac.uk.
  • Malla TR; Intangible Realities Laboratory, School of Chemistry, University of Bristol Cantock's Close Bristol BS8 1TS UK.
  • Twidale RM; Chemistry Research Laboratory, Department of Chemistry and the Ineos Oxford Institute for Antimicrobial Research 12 Mansfield Road Oxford OX1 3TA UK fernanda.duartegonzalez@chem.ox.ac.uk christopher.schofield@chem.ox.ac.uk.
  • John T; Centre for Computational Chemistry, School of Chemistry, University of Bristol Cantock's Close Bristol BS8 1TS UK adrian.mulholland@bristol.ac.uk.
  • Deeks HM; Chemistry Research Laboratory, Department of Chemistry and the Ineos Oxford Institute for Antimicrobial Research 12 Mansfield Road Oxford OX1 3TA UK fernanda.duartegonzalez@chem.ox.ac.uk christopher.schofield@chem.ox.ac.uk.
  • Johnston-Wood T; Centre for Computational Chemistry, School of Chemistry, University of Bristol Cantock's Close Bristol BS8 1TS UK adrian.mulholland@bristol.ac.uk.
  • Mikhailov V; Intangible Realities Laboratory, School of Chemistry, University of Bristol Cantock's Close Bristol BS8 1TS UK.
  • Sessions RB; Chemistry Research Laboratory, Department of Chemistry and the Ineos Oxford Institute for Antimicrobial Research 12 Mansfield Road Oxford OX1 3TA UK fernanda.duartegonzalez@chem.ox.ac.uk christopher.schofield@chem.ox.ac.uk.
  • Dawson W; Chemistry Research Laboratory, Department of Chemistry and the Ineos Oxford Institute for Antimicrobial Research 12 Mansfield Road Oxford OX1 3TA UK fernanda.duartegonzalez@chem.ox.ac.uk christopher.schofield@chem.ox.ac.uk.
  • Salah E; School of Biochemistry, University of Bristol, Medical Sciences Building University Walk Bristol BS8 1TD UK deb.shoemark@bristol.ac.uk.
  • Lukacik P; RIKEN Center for Computational Science 7-1-26 Minatojima-minami-machi, Chuo-ku Kobe Hyogo 650-0047 Japan.
  • Strain-Damerell C; Chemistry Research Laboratory, Department of Chemistry and the Ineos Oxford Institute for Antimicrobial Research 12 Mansfield Road Oxford OX1 3TA UK fernanda.duartegonzalez@chem.ox.ac.uk christopher.schofield@chem.ox.ac.uk.
  • Owen CD; Diamond Light Source Ltd, Harwell Science and Innovation Campus Didcot OX11 0DE UK.
  • Nakajima T; Research Complex at Harwell, Harwell Science and Innovation Campus Didcot OX11 0FA UK.
  • Swiderek K; Diamond Light Source Ltd, Harwell Science and Innovation Campus Didcot OX11 0DE UK.
  • Lodola A; Research Complex at Harwell, Harwell Science and Innovation Campus Didcot OX11 0FA UK.
  • Moliner V; Diamond Light Source Ltd, Harwell Science and Innovation Campus Didcot OX11 0DE UK.
  • Glowacki DR; Research Complex at Harwell, Harwell Science and Innovation Campus Didcot OX11 0FA UK.
  • Spencer J; RIKEN Center for Computational Science 7-1-26 Minatojima-minami-machi, Chuo-ku Kobe Hyogo 650-0047 Japan.
  • Walsh MA; Biocomp Group, Institute of Advanced Materials (INAM), Universitat Jaume I 12071 Castello Spain.
  • Schofield CJ; Food and Drug Department, University of Parma Parco Area delle Scienze, 27/A 43124 Parma Italy.
  • Genovese L; Biocomp Group, Institute of Advanced Materials (INAM), Universitat Jaume I 12071 Castello Spain.
  • Shoemark DK; Intangible Realities Laboratory, School of Chemistry, University of Bristol Cantock's Close Bristol BS8 1TS UK.
  • Mulholland AJ; Intangible Realities Laboratory, School of Chemistry, University of Bristol Cantock's Close Bristol BS8 1TS UK.
  • Duarte F; Diamond Light Source Ltd, Harwell Science and Innovation Campus Didcot OX11 0DE UK.
  • Morris GM; Research Complex at Harwell, Harwell Science and Innovation Campus Didcot OX11 0FA UK.
Chem Sci ; 12(41): 13686-13703, 2021 Oct 27.
Article em En | MEDLINE | ID: mdl-34760153
ABSTRACT
The main protease (Mpro) of SARS-CoV-2 is central to viral maturation and is a promising drug target, but little is known about structural aspects of how it binds to its 11 natural cleavage sites. We used biophysical and crystallographic data and an array of biomolecular simulation techniques, including automated docking, molecular dynamics (MD) and interactive MD in virtual reality, QM/MM, and linear-scaling DFT, to investigate the molecular features underlying recognition of the natural Mpro substrates. We extensively analysed the subsite interactions of modelled 11-residue cleavage site peptides, crystallographic ligands, and docked COVID Moonshot-designed covalent inhibitors. Our modelling studies reveal remarkable consistency in the hydrogen bonding patterns of the natural Mpro substrates, particularly on the N-terminal side of the scissile bond. They highlight the critical role of interactions beyond the immediate active site in recognition and catalysis, in particular plasticity at the S2 site. Building on our initial Mpro-substrate models, we used predictive saturation variation scanning (PreSaVS) to design peptides with improved affinity. Non-denaturing mass spectrometry and other biophysical analyses confirm these new and effective 'peptibitors' inhibit Mpro competitively. Our combined results provide new insights and highlight opportunities for the development of Mpro inhibitors as anti-COVID-19 drugs.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article