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Reproducibility of QM/MM Calculations for the SARS-CoV-2 Main Protease
Xiaoli Sun1,2, Ulf Ryde1
1Department of Computational Chemistry, Lund University, Chemical Centre, PO. Box 124, Lund SE-221 00, Sweden.
Reproducibility of combined quantum mechanics and molecular mechanics (QM/MM) calculations varies significantly across software due to charge treatment. Larger QM systems and dynamic effects are recommended for accurate enzyme reaction mechanism studies.
Area of Science:
- Computational Chemistry
- Biochemistry
- Enzyme Catalysis
Background:
- Combined quantum mechanics and molecular mechanics (QM/MM) is widely used for enzyme reaction mechanism studies.
- Recent studies have raised concerns about the reproducibility of QM/MM calculations across different software packages.
- The SARS-CoV-2 main protease and carmofur inhibitor interaction serves as a critical test case for evaluating computational methods.
Purpose of the Study:
- To extend the investigation of QM/MM reproducibility by including additional software (ComQum, ORCA, AMBER) alongside NWChem and Q-Chem.
- To identify the primary sources of variation in QM/MM calculated energies for enzyme reaction mechanisms.
- To assess the impact of QM region size, protein setup, and solvent treatment on calculation reproducibility.
Main Methods:
- Performed QM/MM calculations using five different software packages (NWChem, Q-Chem, ComQum, ORCA, AMBER).
- Utilized a standardized test case: the covalent attachment of carmofur to SARS-CoV-2 main protease Cys-145.
- Investigated the effect of varying QM region size (up to ~1400 atoms), protein relaxation, and solvent models (continuum solvent with dielectric constant 80).
Main Results:
- Significant variations in reaction (ΔE) and activation (ΔE‡) energies were observed across different QM/MM software.
- The primary source of variation was identified as the treatment of charge redistribution at the QM/MM boundary.
- Increasing the QM region size to include atoms within 8 Å (~1400 atoms) led to reasonably converged energies.
- Differences in protein setup and water molecule placement introduced substantial energy variations (up to 114 kJ/mol and 18-57 kJ/mol, respectively).
- QM/MM calculations using minimized structures for solvent-exposed active sites showed poor reproducibility.
Conclusions:
- The choice of QM/MM software and specific implementation details significantly impacts the reproducibility of enzyme reaction mechanism calculations.
- Careful consideration of the QM/MM boundary treatment, QM region size, and protein/solvent environment is crucial for reliable results.
- For solvent-exposed active sites, QM/MM methods incorporating dynamic effects and free energy calculations are recommended over static minimized structures.
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