How Reproducible Are QM/MM Simulations? Lessons from Computational Studies of the Covalent Inhibition of the SARS-CoV-2 Main Protease by Carmofur
Publication type: Journal Article
Publication date: 2022-07-07
scimago Q1
wos Q1
SJR: 1.482
CiteScore: 9.8
Impact factor: 5.5
ISSN: 15499618, 15499626
PubMed ID:
35797455
Physical and Theoretical Chemistry
Computer Science Applications
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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Giudetti G. et al. How Reproducible Are QM/MM Simulations? Lessons from Computational Studies of the Covalent Inhibition of the SARS-CoV-2 Main Protease by Carmofur // Journal of Chemical Theory and Computation. 2022. Vol. 18. No. 8. pp. 5056-5067.
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Giudetti G., Polyakov A. V., Grigorenko B., Faraji S., Nemukhin A., Krylov A. I. How Reproducible Are QM/MM Simulations? Lessons from Computational Studies of the Covalent Inhibition of the SARS-CoV-2 Main Protease by Carmofur // Journal of Chemical Theory and Computation. 2022. Vol. 18. No. 8. pp. 5056-5067.
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RIS
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TY - JOUR
DO - 10.1021/acs.jctc.2c00286
UR - https://pubs.acs.org/doi/10.1021/acs.jctc.2c00286
TI - How Reproducible Are QM/MM Simulations? Lessons from Computational Studies of the Covalent Inhibition of the SARS-CoV-2 Main Protease by Carmofur
T2 - Journal of Chemical Theory and Computation
AU - Giudetti, Goran
AU - Polyakov, Alexey V
AU - Grigorenko, Bella
AU - Faraji, Shirin
AU - Nemukhin, Alexander
AU - Krylov, Anna I.
PY - 2022
DA - 2022/07/07
PB - American Chemical Society (ACS)
SP - 5056-5067
IS - 8
VL - 18
PMID - 35797455
SN - 1549-9618
SN - 1549-9626
ER -
Cite this
BibTex (up to 50 authors)
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@article{2022_Giudetti,
author = {Goran Giudetti and Alexey V Polyakov and Bella Grigorenko and Shirin Faraji and Alexander Nemukhin and Anna I. Krylov},
title = {How Reproducible Are QM/MM Simulations? Lessons from Computational Studies of the Covalent Inhibition of the SARS-CoV-2 Main Protease by Carmofur},
journal = {Journal of Chemical Theory and Computation},
year = {2022},
volume = {18},
publisher = {American Chemical Society (ACS)},
month = {jul},
url = {https://pubs.acs.org/doi/10.1021/acs.jctc.2c00286},
number = {8},
pages = {5056--5067},
doi = {10.1021/acs.jctc.2c00286}
}
Cite this
MLA
Copy
Giudetti, Goran, et al. “How Reproducible Are QM/MM Simulations? Lessons from Computational Studies of the Covalent Inhibition of the SARS-CoV-2 Main Protease by Carmofur.” Journal of Chemical Theory and Computation, vol. 18, no. 8, Jul. 2022, pp. 5056-5067. https://pubs.acs.org/doi/10.1021/acs.jctc.2c00286.