Literature DB >> 30300543

Accelerating QM/MM Free Energy Computations via Intramolecular Force Matching.

Phillip S Hudson1,2, Stefan Boresch3, David M Rogers1, H Lee Woodcock1.   

Abstract

The calculation of free energy differences between levels of theory has numerous potential pitfalls. Chief among them is the lack of overlap, i.e., ensembles generated at one level of theory (e.g., "low") not being good approximations of ensembles at the other (e.g., "high"). Numerous strategies have been devised to mitigate this issue. However, the most straightforward approach is to ensure that the "low" level ensemble more closely resembles that of the "high". Ideally, this is done without increasing computational cost. Herein, we demonstrate that by reparametrizing classical intramolecular potentials to reproduce high level forces (i.e., force matching) configurational overlap between a "low" (i.e., classical) and "high" (i.e., quantum) level can be significantly improved. This procedure is validated on two test cases and results in vastly improved convergence of free energy simulations.

Entities:  

Year:  2018        PMID: 30300543      PMCID: PMC6314469          DOI: 10.1021/acs.jctc.8b00517

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  49 in total

1.  Effective force fields for condensed phase systems from ab initio molecular dynamics simulation: a new method for force-matching.

Authors:  Sergei Izvekov; Michele Parrinello; Christian J Burnham; Gregory A Voth
Journal:  J Chem Phys       Date:  2004-06-15       Impact factor: 3.488

2.  Communication: Hybrid ensembles for improved force matching.

Authors:  Lee-Ping Wang; Troy Van Voorhis
Journal:  J Chem Phys       Date:  2010-12-21       Impact factor: 3.488

3.  Comparison of multiple Amber force fields and development of improved protein backbone parameters.

Authors:  Viktor Hornak; Robert Abel; Asim Okur; Bentley Strockbine; Adrian Roitberg; Carlos Simmerling
Journal:  Proteins       Date:  2006-11-15

4.  Statistically optimal analysis of samples from multiple equilibrium states.

Authors:  Michael R Shirts; John D Chodera
Journal:  J Chem Phys       Date:  2008-09-28       Impact factor: 3.488

Review 5.  Advances in binding free energies calculations: QM/MM-based free energy perturbation method for drug design.

Authors:  R S Rathore; M Sumakanth; M Siva Reddy; P Reddanna; Allam Appa Rao; Mark D Erion; M R Reddy
Journal:  Curr Pharm Des       Date:  2013       Impact factor: 3.116

6.  Convergence of QM/MM free-energy perturbations based on molecular-mechanics or semiempirical simulations.

Authors:  Jimmy Heimdal; Ulf Ryde
Journal:  Phys Chem Chem Phys       Date:  2012-07-13       Impact factor: 3.676

7.  Efficiently computing pathway free energies: New approaches based on chain-of-replica and Non-Boltzmann Bennett reweighting schemes.

Authors:  Phillip S Hudson; Justin K White; Fiona L Kearns; Milan Hodoscek; Stefan Boresch; H Lee Woodcock
Journal:  Biochim Biophys Acta       Date:  2014-09-17

Review 8.  CHARMM additive and polarizable force fields for biophysics and computer-aided drug design.

Authors:  K Vanommeslaeghe; A D MacKerell
Journal:  Biochim Biophys Acta       Date:  2014-08-19

9.  Comparison of QM/MM Methods To Obtain Ligand-Binding Free Energies.

Authors:  Martin A Olsson; Ulf Ryde
Journal:  J Chem Theory Comput       Date:  2017-04-05       Impact factor: 6.006

10.  A New Maximum Likelihood Approach for Free Energy Profile Construction from Molecular Simulations.

Authors:  Tai-Sung Lee; Brian K Radak; Anna Pabis; Darrin M York
Journal:  J Chem Theory Comput       Date:  2012-12-12       Impact factor: 6.006

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  17 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.  Alchemical Binding Free Energy Calculations in AMBER20: Advances and Best Practices for Drug Discovery.

Authors:  Tai-Sung Lee; Bryce K Allen; Timothy J Giese; Zhenyu Guo; Pengfei Li; Charles Lin; T Dwight McGee; David A Pearlman; Brian K Radak; Yujun Tao; Hsu-Chun Tsai; Huafeng Xu; Woody Sherman; Darrin M York
Journal:  J Chem Inf Model       Date:  2020-09-16       Impact factor: 4.956

3.  On the faithfulness of molecular mechanics representations of proteins towards quantum-mechanical energy surfaces.

Authors:  Gerhard König; Sereina Riniker
Journal:  Interface Focus       Date:  2020-10-16       Impact factor: 3.906

4.  Multi-level free energy simulation with a staged transformation approach.

Authors:  Shingo Ito; Qiang Cui
Journal:  J Chem Phys       Date:  2020-07-28       Impact factor: 3.488

5.  Prediction of CB[8] host-guest binding free energies in SAMPL6 using the double-decoupling method.

Authors:  Kyungreem Han; Phillip S Hudson; Michael R Jones; Naohiro Nishikawa; Florentina Tofoleanu; Bernard R Brooks
Journal:  J Comput Aided Mol Des       Date:  2018-08-06       Impact factor: 3.686

6.  Development of a Robust Indirect Approach for MM → QM Free Energy Calculations That Combines Force-Matched Reference Potential and Bennett's Acceptance Ratio Methods.

Authors:  Timothy J Giese; Darrin M York
Journal:  J Chem Theory Comput       Date:  2019-09-17       Impact factor: 6.006

7.  Use of Interaction Energies in QM/MM Free Energy Simulations.

Authors:  Phillip S Hudson; H Lee Woodcock; Stefan Boresch
Journal:  J Chem Theory Comput       Date:  2019-07-02       Impact factor: 6.006

8.  Multi-phase Boltzmann weighting: accounting for local inhomogeneity in molecular simulations of water-octanol partition coefficients in the SAMPL6 challenge.

Authors:  Andreas Krämer; Phillip S Hudson; Michael R Jones; Bernard R Brooks
Journal:  J Comput Aided Mol Des       Date:  2020-02-14       Impact factor: 3.686

9.  Force matching as a stepping stone to QM/MM CB[8] host/guest binding free energies: a SAMPL6 cautionary tale.

Authors:  Phillip S Hudson; Kyungreem Han; H Lee Woodcock; Bernard R Brooks
Journal:  J Comput Aided Mol Des       Date:  2018-10-01       Impact factor: 3.686

10.  Biomolecular QM/MM Simulations: What Are Some of the "Burning Issues"?

Authors:  Qiang Cui; Tanmoy Pal; Luke Xie
Journal:  J Phys Chem B       Date:  2021-01-06       Impact factor: 2.991

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