{"title":"Accurate QM/MM Molecular Dynamics for Periodic Systems in \\textsc{GPU4PySCF} with Applications to Enzyme Catalysis","authors":"Chenghan Li, Garnet Kin-Lic Chan","doi":"arxiv-2408.03273","DOIUrl":null,"url":null,"abstract":"We present an implementation of the quantum mechanics/molecular mechanics\n(QM/MM) method for periodic systems using GPU accelerated QM methods, a\ndistributed multipole formulation of the electrostatics, and a pseudo-bond\ntreatment of the QM/MM boundary. We demonstrate that our method has\nwell-controlled errors, stable self-consistent QM convergence, and\nenergy-conserving dynamics. We further describe an application to the catalytic\nkinetics of chorismate mutase. Using an accurate hybrid functional\nreparametrized to coupled cluster energetics, our QM/MM simulations highlight\nthe sensitivity in the calculated rate to the choice of quantum method, quantum\nregion selection, and local protein conformation. Our work is provided through\nthe open-source \\textsc{PySCF} package using acceleration from the\n\\textsc{GPU4PySCF} module.","PeriodicalId":501304,"journal":{"name":"arXiv - PHYS - Chemical Physics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Chemical Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.03273","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We present an implementation of the quantum mechanics/molecular mechanics
(QM/MM) method for periodic systems using GPU accelerated QM methods, a
distributed multipole formulation of the electrostatics, and a pseudo-bond
treatment of the QM/MM boundary. We demonstrate that our method has
well-controlled errors, stable self-consistent QM convergence, and
energy-conserving dynamics. We further describe an application to the catalytic
kinetics of chorismate mutase. Using an accurate hybrid functional
reparametrized to coupled cluster energetics, our QM/MM simulations highlight
the sensitivity in the calculated rate to the choice of quantum method, quantum
region selection, and local protein conformation. Our work is provided through
the open-source \textsc{PySCF} package using acceleration from the
\textsc{GPU4PySCF} module.