Literature DB >> 31508625

Accelerated computation of free energy profile at ab initio quantum mechanical/molecular mechanical accuracy via a semi-empirical reference potential. II. Recalibrating semi-empirical parameters with force matching.

Xiaoliang Pan1, Pengfei Li2, Junming Ho3, Jingzhi Pu4, Ye Mei5, Yihan Shao1.   

Abstract

An efficient and accurate reference potential simulation protocol is proposed for producing ab initio quantum mechanical/molecular mechanical (AI-QM/MM) quality free energy profiles for chemical reactions in a solvent or macromolecular environment. This protocol involves three stages: (a) using force matching to recalibrate a semi-empirical quantum mechanical (SE-QM) Hamiltonian for the specific reaction under study; (b) employing the recalibrated SE-QM Hamiltonian (in combination with molecular mechanical force fields) as the reference potential to drive umbrella samplings along the reaction pathway; and (c) computing AI-QM/MM energy values for collected configurations from the sampling and performing weighted thermodynamic perturbation to acquire an AI-QM/MM corrected reaction free energy profile. For three model reactions (identity SN2 reaction, Menshutkin reaction, and glycine proton transfer reaction) in aqueous solution and one enzyme reaction (Claisen arrangement in chorismate mutase), our simulations using recalibrated PM3 SE-QM Hamiltonians well reproduced QM/MM free energy profiles at the B3LYP/6-31G* level of theory all within 1 kcal mol-1 with a 20 to 45 fold reduction in the computer time.

Entities:  

Year:  2019        PMID: 31508625      PMCID: PMC6761017          DOI: 10.1039/c9cp02593f

Source DB:  PubMed          Journal:  Phys Chem Chem Phys        ISSN: 1463-9076            Impact factor:   3.676


  52 in total

Review 1.  Computer simulations of enzyme catalysis: methods, progress, and insights.

Authors:  Arieh Warshel
Journal:  Annu Rev Biophys Biomol Struct       Date:  2003-02-05

2.  Escaping free-energy minima.

Authors:  Alessandro Laio; Michele Parrinello
Journal:  Proc Natl Acad Sci U S A       Date:  2002-09-23       Impact factor: 11.205

3.  Development and testing of a general amber force field.

Authors:  Junmei Wang; Romain M Wolf; James W Caldwell; Peter A Kollman; David A Case
Journal:  J Comput Chem       Date:  2004-07-15       Impact factor: 3.376

4.  Steric retardation of SN2 reactions in the gas phase and solution.

Authors:  Grigoriy Vayner; K N Houk; William L Jorgensen; John I Brauman
Journal:  J Am Chem Soc       Date:  2004-07-28       Impact factor: 15.419

5.  Optimized Monte Carlo data analysis.

Authors: 
Journal:  Phys Rev Lett       Date:  1989-09-18       Impact factor: 9.161

6.  Model for small-sample bias of free-energy calculations applied to Gaussian-distributed nonequilibrium work measurements.

Authors:  Di Wu; David A Kofke
Journal:  J Chem Phys       Date:  2004-11-08       Impact factor: 3.488

Review 7.  Modelling enzyme reaction mechanisms, specificity and catalysis.

Authors:  Adrian J Mulholland
Journal:  Drug Discov Today       Date:  2005-10-15       Impact factor: 7.851

8.  Ab initio molecular dynamics study of glycine intramolecular proton transfer in water.

Authors:  Kevin Leung; Susan B Rempe
Journal:  J Chem Phys       Date:  2005-05-08       Impact factor: 3.488

9.  Catalytic mechanism and product specificity of the histone lysine methyltransferase SET7/9: an ab initio QM/MM-FE study with multiple initial structures.

Authors:  Po Hu; Yingkai Zhang
Journal:  J Am Chem Soc       Date:  2006-02-01       Impact factor: 15.419

10.  Bridging the gap between thermodynamic integration and umbrella sampling provides a novel analysis method: "Umbrella integration".

Authors:  Johannes Kästner; Walter Thiel
Journal:  J Chem Phys       Date:  2005-10-08       Impact factor: 3.488

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  7 in total

1.  Accelerated Computation of Free Energy Profile at Ab Initio Quantum Mechanical/Molecular Mechanics Accuracy via a Semiempirical Reference Potential. 4. Adaptive QM/MM.

Authors:  Jia-Ning Wang; Wei Liu; Pengfei Li; Yan Mo; Wenxin Hu; Jun Zheng; Xiaoliang Pan; Yihan Shao; Ye Mei
Journal:  J Chem Theory Comput       Date:  2021-02-16       Impact factor: 6.006

2.  Predicting partition coefficients of drug-like molecules in the SAMPL6 challenge with Drude polarizable force fields.

Authors:  Ye Ding; You Xu; Cheng Qian; Jinfeng Chen; Jian Zhu; Houhou Huang; Yi Shi; Jing Huang
Journal:  J Comput Aided Mol Des       Date:  2020-01-20       Impact factor: 3.686

3.  Machine-Learning-Assisted Free Energy Simulation of Solution-Phase and Enzyme Reactions.

Authors:  Xiaoliang Pan; Junjie Yang; Richard Van; Evgeny Epifanovsky; Junming Ho; Jing Huang; Jingzhi Pu; Ye Mei; Kwangho Nam; Yihan Shao
Journal:  J Chem Theory Comput       Date:  2021-09-01       Impact factor: 6.578

4.  Affordable Ab Initio Path Integral for Thermodynamic Properties via Molecular Dynamics Simulations Using Semiempirical Reference Potential.

Authors:  Yuanfei Xue; Jia-Ning Wang; Wenxin Hu; Jun Zheng; Yongle Li; Xiaoliang Pan; Yan Mo; Yihan Shao; Lu Wang; Ye Mei
Journal:  J Phys Chem A       Date:  2021-12-12       Impact factor: 2.944

5.  A simplified charge projection scheme for long-range electrostatics in ab initio QM/MM calculations.

Authors:  Xiaoliang Pan; Kwangho Nam; Evgeny Epifanovsky; Andrew C Simmonett; Edina Rosta; Yihan Shao
Journal:  J Chem Phys       Date:  2021-01-14       Impact factor: 3.488

6.  Reaction Path-Force Matching in Collective Variables: Determining Ab Initio QM/MM Free Energy Profiles by Fitting Mean Force.

Authors:  Bryant Kim; Ryan Snyder; Mulpuri Nagaraju; Yan Zhou; Pedro Ojeda-May; Seth Keeton; Mellisa Hege; Yihan Shao; Jingzhi Pu
Journal:  J Chem Theory Comput       Date:  2021-07-20       Impact factor: 6.578

7.  Doubly Polarized QM/MM with Machine Learning Chaperone Polarizability.

Authors:  Bryant Kim; Yihan Shao; Jingzhi Pu
Journal:  J Chem Theory Comput       Date:  2021-11-01       Impact factor: 6.578

  7 in total

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