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Isotopic Effect in Double Proton Transfer Process of Porphycene Investigated by Enhanced QM/MM Method
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Systematic Quantum Mechanical Region Determination in QM/MM Simulation.

Maria Karelina1, Heather J Kulik1

  • 1Department of Chemical Engineering, Massachusetts Institute of Technology , Cambridge, Massachusetts 02139, United States.

Journal of Chemical Theory and Computation
|January 10, 2017
PubMed
Summary
This summary is machine-generated.

Determining optimal quantum mechanical (QM) regions in QM/MM enzyme simulations is challenging. New Charge Shift Analysis (CSA) and Fukui Shift Analysis (FSA) methods efficiently identify crucial QM regions, improving multiscale modeling accuracy.

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Area of Science:

  • Computational Chemistry
  • Biochemistry
  • Enzyme Catalysis

Background:

  • Hybrid quantum mechanical-molecular mechanical (QM/MM) simulations are vital for enzyme studies.
  • Slow convergence in QM/MM methods necessitates large QM regions (500-1000 atoms) due to charge transfer.
  • Current methods struggle to efficiently determine optimal QM region sizes.

Purpose of the Study:

  • To develop atom-economical methods for determining optimal QM regions in QM/MM simulations.
  • To gain insight into crucial interactions captured only in large QM regions.
  • To provide systematic and unbiased approaches for defining QM effects in multiscale modeling.

Main Methods:

  • Charge Shift Analysis (CSA): Probes electron density reorganization upon removing active site residues.
  • Fukui Shift Analysis (FSA): Identifies alterations in frontier states with added QM residues.
  • Validation on catechol O-methyltransferase, cytochrome P450cam, and hen eggwhite lysozyme.

Main Results:

  • CSA and FSA are complementary and consistent across tested enzymes.
  • The methods provide quantitative determination of QM regions.
  • Sensitivity analysis confirms robustness to geometric, basis set, and electronic structure variations.

Conclusions:

  • FSA and CSA offer promising, systematic approaches for defining QM regions in QM/MM simulations.
  • These methods facilitate accurate multiscale modeling of enzymes and large systems.
  • Improved QM region determination enhances the efficiency and reliability of computational enzyme studies.