4.7 Article

How Reproducible Are QM/MM Simulations? Lessons from Computational Studies of the Covalent Inhibition of the SARS-CoV-2 Main Protease by Carmofur

Journal

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.jctc.2c00286

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Funding

  1. U.S. National Science Foundation [CHE-1856342]
  2. Russian Science Foundation [19-73-20032]
  3. Innovation Research Incentives Scheme Vidi 2017 by Dutch Research Council (NWO) [016.Vidi.189.044]
  4. National Science Foundation [ACI-1548562, TG-CHE200131]
  5. National Science Foundation

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This work explores the importance of transparency in reporting computational protocols for achieving reproducibility in QM/MM simulations. By simulating a chemical reaction in a biomolecule as a test case, the study shows that reproducing key energy calculations from two software packages is challenging. The results indicate that minor details of the QM/MM simulations need to be reported to ensure reproducibility, and suggestions are provided for developing practical guidelines for reporting biosimulation results.
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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