TY - JOUR
T1 - Density Functional Theory-based Quantum Mechanics/Coarse-grained Molecular Mechanics: Theory and Implementation
AU - Mironenko, Alexander V.
AU - Voth, Gregory A.
N1 - Funding Information:
This research was supported by the Office of Naval Research, grant number N000141812574, and in part by the Kadanoff-Rice fellowship to A.V.M. from The University of Chicago Materials Research Science and Engineering Center, which is funded by the National Science Foundation under award number DMR-1420709. We thank Sriramvignesh Mani, Harshwardhan Katkar, Fikret Aydin, and Alex Pak for the valuable discussions and Da Teng for proofreading the manuscript. We acknowledge the University of Chicago Research Computing Center for the computational support of this work.
Funding Information:
This research was supported by the Office of Naval Research grant number N000141812574, and in part by the Kadanoff-Rice fellowship to A.V.M. from The University of Chicago Materials Research Science and Engineering Center, which is funded by the National Science Foundation under award number DMR-1420709. We thank Sriramvignesh Mani, Harshwardhan Katkar, Fikret Aydin, and Alex Pak for the valuable discussions and Da Teng for proofreading the manuscript. We acknowledge the University of Chicago Research Computing Center for the computational support of this work.
PY - 2020/10/13
Y1 - 2020/10/13
N2 - Quantum mechanics/molecular mechanics (QM/MM) is a standard computational tool for describing chemical reactivity in systems with many degrees of freedom, including polymers, enzymes, and reacting molecules in complex solvents. However, QM/MM is less suitable for systems with complex MM dynamics due to associated long relaxation times, the high computational cost of QM energy evaluations, and expensive long-range electrostatics. Recently, a systematic coarse graining of the MM part was proposed to overcome these QM/MM limitations in the form of the quantum mechanics/coarse-grained molecular mechanics (QM/CG-MM) approach. Herein, we recast QM/CG-MM in the density functional theory formalism and, by employing the force-matching variational principle, assess the method performance for the two model systems: QM CCl4 in the MM CCl4 liquid and the reaction of tert-butyl hypochlorite with the benzyl radical in the MM CCl4 solvent. We find that density functional theory (DFT)-QM/CG-MM accurately reproduces DFT-QM/MM radial distribution functions and three-body correlations between the QM and CG-MM subsystems. The free-energy profile of the reaction is also described well, with an error <1-2 kcal/mol. DFT-QM/CG-MM is a general, systematic, and computationally efficient approach to include chemical reactivity in coarse-grained molecular models.
AB - Quantum mechanics/molecular mechanics (QM/MM) is a standard computational tool for describing chemical reactivity in systems with many degrees of freedom, including polymers, enzymes, and reacting molecules in complex solvents. However, QM/MM is less suitable for systems with complex MM dynamics due to associated long relaxation times, the high computational cost of QM energy evaluations, and expensive long-range electrostatics. Recently, a systematic coarse graining of the MM part was proposed to overcome these QM/MM limitations in the form of the quantum mechanics/coarse-grained molecular mechanics (QM/CG-MM) approach. Herein, we recast QM/CG-MM in the density functional theory formalism and, by employing the force-matching variational principle, assess the method performance for the two model systems: QM CCl4 in the MM CCl4 liquid and the reaction of tert-butyl hypochlorite with the benzyl radical in the MM CCl4 solvent. We find that density functional theory (DFT)-QM/CG-MM accurately reproduces DFT-QM/MM radial distribution functions and three-body correlations between the QM and CG-MM subsystems. The free-energy profile of the reaction is also described well, with an error <1-2 kcal/mol. DFT-QM/CG-MM is a general, systematic, and computationally efficient approach to include chemical reactivity in coarse-grained molecular models.
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U2 - 10.1021/acs.jctc.0c00751
DO - 10.1021/acs.jctc.0c00751
M3 - Article
C2 - 32877176
SN - 1549-9618
VL - 16
SP - 6329
EP - 6342
JO - Journal of Chemical Theory and Computation
JF - Journal of Chemical Theory and Computation
IS - 10
ER -