Qmmm 2023: A Program for Combined Quantum Mechanical and Molecular Mechanical Modeling and Simulations

48 Pages Posted: 26 Sep 2023

See all articles by Hai Lin

Hai Lin

University of Colorado Denver

Yan Zhang

Dalian Maritime University

Soroosh Pezeshki

affiliation not provided to SSRN

Adam W. Duster

affiliation not provided to SSRN

Bo Wang

University of Minnesota - Twin Cities

Xinping Wu

East China University of Science and Technology (ECUST) - School of Chemistry and Molecular Engineering

Shi-Wen Zheng

affiliation not provided to SSRN

Laura Gagliardi

University of Chicago

Donald G. Truhlar

University of Minnesota - Twin Cities

Abstract

Combined quantum mechanical and molecular mechanical (QM/MM) methods play an important role in multiscale modeling and simulations. QMMM 2023 is a general-purpose program for single-point calculations, geometry optimizations, transition state optimizations, and molecular dynamics (MD) at the QM/MM level. It calls a QM package and an MM package to perform the required single-level calculations and combines them into a QM/MM energy by a variety of schemes. QMMM 2023 supports GAMESS-US, Gaussian, and ORCA as QM packages and TINKER as the MM package. Four types of treatments are available for embedding the QM subsystem in the MM environment: mechanical embedding with gas-phase calculations of the QM region, electronic embedding that allows polarization of the QM region by the MM environment, polarizable embedding for mutual polarization of the QM and MM regions, and flexible embedding for both mutual polarization and partial charge transfer between the QM and MM regions. Boundaries between QM and MM regions that pass through covalent bonds can be treated by several methods, including the redistributed charge (RC) scheme, redistributed charge and dipole (RCD) scheme, balanced-RC, balanced-RCD, screened charge scheme that takes account of charge penetration effects, and smeared charge scheme that delocalizes the MM charges near the QM–MM boundary. Geometry optimization can be done using the optimizer implemented in QMMM 2023 or the Berny optimizer in Gaussian through external calls to Gaussian. Molecular dynamics simulations can be performed at the pure-MM level, pure-QM level, fixed-partitioning QM/MM level, and adaptive-partitioning QM/MM level. The adaptive-partitioning treatments permit on-the-fly relocation of the QM–MM boundary by dynamically reclassifying atoms or groups into the QM or MM subsystems.

Keywords: Adaptive partitioning, Flexible-boundary, Polarizable-boundary, QM-MM boundary, Redistributed charge and dipole, Tuned and balanced boundary

Suggested Citation

Lin, Hai and Zhang, Yan and Pezeshki, Soroosh and Duster, Adam W. and Wang, Bo and Wu, Xinping and Zheng, Shi-Wen and Gagliardi, Laura and Truhlar, Donald G., Qmmm 2023: A Program for Combined Quantum Mechanical and Molecular Mechanical Modeling and Simulations. Available at SSRN: https://ssrn.com/abstract=4584830 or http://dx.doi.org/10.2139/ssrn.4584830

Hai Lin (Contact Author)

University of Colorado Denver ( email )

1475 Lawrence St
Denver, CO 80238-3363
United States

Yan Zhang

Dalian Maritime University ( email )

Soroosh Pezeshki

affiliation not provided to SSRN ( email )

No Address Available

Adam W. Duster

affiliation not provided to SSRN ( email )

No Address Available

Bo Wang

University of Minnesota - Twin Cities ( email )

Xinping Wu

East China University of Science and Technology (ECUST) - School of Chemistry and Molecular Engineering ( email )

Shi-Wen Zheng

affiliation not provided to SSRN ( email )

No Address Available

Laura Gagliardi

University of Chicago ( email )

Chicago
United States

Donald G. Truhlar

University of Minnesota - Twin Cities ( email )

116 Church Street SE
Minneapolis, MN 55455
United States

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