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How Reproducible Are QM/MM Simulations? Lessons from Computational Studies of the Covalent Inhibition of the SARS-CoV-2 Main Protease by Carmofur.
Giudetti, Goran; Polyakov, Igor; Grigorenko, Bella L; Faraji, Shirin; Nemukhin, Alexander V; Krylov, Anna I.
  • Giudetti G; Department of Chemistry, University of Southern California, Los Angeles, California 90089-0482, United States.
  • Polyakov I; Department of Chemistry, Lomonosov Moscow State University, Moscow, 119991, Russia.
  • Grigorenko BL; Department of Chemistry, Lomonosov Moscow State University, Moscow, 119991, Russia.
  • Faraji S; Zernike Institute for Advanced Materials, University of Groningen, Groningen, 9747 AG The Netherlands.
  • Nemukhin AV; Department of Chemistry, Lomonosov Moscow State University, Moscow, 119991, Russia.
  • Krylov AI; Department of Chemistry, University of Southern California, Los Angeles, California 90089-0482, United States.
J Chem Theory Comput ; 18(8): 5056-5067, 2022 Aug 09.
Article in English | MEDLINE | ID: covidwho-1921544
ABSTRACT
This work explores the level of transparency in reporting the details of computational protocols that is required for practical reproducibility of quantum mechanics/molecular mechanics (QM/MM) simulations. Using the reaction of an essential SARS-CoV-2 enzyme (the main protease) with a covalent inhibitor (carmofur) as a test case of chemical reactions in biomolecules, we carried out QM/MM calculations to determine the structures and energies of the reactants, the product, and the transition state/intermediate using analogous QM/MM models implemented in two software packages, NWChem and Q-Chem. Our main benchmarking goal was to reproduce the key energetics computed with the two packages. Our results indicate that quantitative agreement (within the numerical thresholds used in calculations) is difficult to achieve. We show that rather minor details of QM/MM simulations must be reported in order to ensure the reproducibility of the results and offer suggestions toward developing practical guidelines for reporting the results of biosimulations.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Quantum Theory / COVID-19 Limits: Humans Language: English Journal: J Chem Theory Comput Year: 2022 Document Type: Article Affiliation country: Acs.jctc.2c00286

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Quantum Theory / COVID-19 Limits: Humans Language: English Journal: J Chem Theory Comput Year: 2022 Document Type: Article Affiliation country: Acs.jctc.2c00286