Literature DB >> 25218695

Correcting for the free energy costs of bond or angle constraints in molecular dynamics simulations.

Gerhard König1, Bernard R Brooks2.   

Abstract

BACKGROUND: Free energy simulations are an important tool in the arsenal of computational biophysics, allowing the calculation of thermodynamic properties of binding or enzymatic reactions. This paper introduces methods to increase the accuracy and precision of free energy calculations by calculating the free energy costs of constraints during post-processing. The primary purpose of employing constraints for these free energy methods is to increase the phase space overlap between ensembles, which is required for accuracy and convergence.
METHODS: The free energy costs of applying or removing constraints are calculated as additional explicit steps in the free energy cycle. The new techniques focus on hard degrees of freedom and use both gradients and Hessian estimation. Enthalpy, vibrational entropy, and Jacobian free energy terms are considered.
RESULTS: We demonstrate the utility of this method with simple classical systems involving harmonic and anharmonic oscillators, four-atomic benchmark systems, an alchemical mutation of ethane to methanol, and free energy simulations between alanine and serine. The errors for the analytical test cases are all below 0.0007kcal/mol, and the accuracy of the free energy results of ethane to methanol is improved from 0.15 to 0.04kcal/mol. For the alanine to serine case, the phase space overlaps of the unconstrained simulations range between 0.15 and 0.9%. The introduction of constraints increases the overlap up to 2.05%. On average, the overlap increases by 94% relative to the unconstrained value and precision is doubled.
CONCLUSIONS: The approach reduces errors arising from constraints by about an order of magnitude. Free energy simulations benefit from the use of constraints through enhanced convergence and higher precision. GENERAL SIGNIFICANCE: The primary utility of this approach is to calculate free energies for systems with disparate energy surfaces and bonded terms, especially in multi-scale molecular mechanics/quantum mechanics simulations. This article is part of a Special Issue entitled Recent developments of molecular dynamics. Published by Elsevier B.V.

Entities:  

Keywords:  Bennett's acceptance ratio; Constraint correction; Free energy calculation; Molecular dynamics simulation; Normal mode analysis

Mesh:

Substances:

Year:  2014        PMID: 25218695      PMCID: PMC4339525          DOI: 10.1016/j.bbagen.2014.09.001

Source DB:  PubMed          Journal:  Biochim Biophys Acta        ISSN: 0006-3002


  33 in total

1.  CHARMM-GUI: a web-based graphical user interface for CHARMM.

Authors:  Sunhwan Jo; Taehoon Kim; Vidyashankara G Iyer; Wonpil Im
Journal:  J Comput Chem       Date:  2008-08       Impact factor: 3.376

Review 2.  CHARMM: the biomolecular simulation program.

Authors:  B R Brooks; C L Brooks; A D Mackerell; L Nilsson; R J Petrella; B Roux; Y Won; G Archontis; C Bartels; S Boresch; A Caflisch; L Caves; Q Cui; A R Dinner; M Feig; S Fischer; J Gao; M Hodoscek; W Im; K Kuczera; T Lazaridis; J Ma; V Ovchinnikov; E Paci; R W Pastor; C B Post; J Z Pu; M Schaefer; B Tidor; R M Venable; H L Woodcock; X Wu; W Yang; D M York; M Karplus
Journal:  J Comput Chem       Date:  2009-07-30       Impact factor: 3.376

3.  Vibrational subsystem analysis: A method for probing free energies and correlations in the harmonic limit.

Authors:  H Lee Woodcock; Wenjun Zheng; An Ghysels; Yihan Shao; Jing Kong; Bernard R Brooks
Journal:  J Chem Phys       Date:  2008-12-07       Impact factor: 3.488

4.  Normal modes for large molecules with arbitrary link constraints in the mobile block Hessian approach.

Authors:  A Ghysels; D Van Neck; B R Brooks; V Van Speybroeck; M Waroquier
Journal:  J Chem Phys       Date:  2009-02-28       Impact factor: 3.488

5.  Unorthodox uses of Bennett's acceptance ratio method.

Authors:  Gerhard König; Stefan Bruckner; Stefan Boresch
Journal:  J Comput Chem       Date:  2009-08       Impact factor: 3.376

6.  Free energies of binding from large-scale first-principles quantum mechanical calculations: application to ligand hydration energies.

Authors:  Stephen J Fox; Chris Pittock; Christofer S Tautermann; Thomas Fox; Clara Christ; N O J Malcolm; Jonathan W Essex; Chris-Kriton Skylaris
Journal:  J Phys Chem B       Date:  2013-08-05       Impact factor: 2.991

7.  Using Selectively Applied Accelerated Molecular Dynamics to Enhance Free Energy Calculations.

Authors:  Jeff Wereszczynski; J Andrew McCammon
Journal:  J Chem Theory Comput       Date:  2010-10-13       Impact factor: 6.006

8.  Efficient Calculation of QM/MM Frequencies with the Mobile Block Hessian.

Authors:  An Ghysels; H Lee Woodcock; Joseph D Larkin; Benjamin T Miller; Yihan Shao; Jing Kong; Dimitri Van Neck; Veronique Van Speybroeck; Michel Waroquier; Bernard R Brooks
Journal:  J Chem Theory Comput       Date:  2011-01-06       Impact factor: 6.006

9.  CHARMM general force field: A force field for drug-like molecules compatible with the CHARMM all-atom additive biological force fields.

Authors:  K Vanommeslaeghe; E Hatcher; C Acharya; S Kundu; S Zhong; J Shim; E Darian; O Guvench; P Lopes; I Vorobyov; A D Mackerell
Journal:  J Comput Chem       Date:  2010-03       Impact factor: 3.376

10.  Mobile Block Hessian Approach with Adjoined Blocks: An Efficient Approach for the Calculation of Frequencies in Macromolecules.

Authors:  A Ghysels; V Van Speybroeck; E Pauwels; D Van Neck; B R Brooks; M Waroquier
Journal:  J Chem Theory Comput       Date:  2009-05-12       Impact factor: 6.006

View more
  23 in total

1.  Overcoming potential energy distortions in constrained internal coordinate molecular dynamics simulations.

Authors:  Saugat Kandel; Romelia Salomon-Ferrer; Adrien B Larsen; Abhinandan Jain; Nagarajan Vaidehi
Journal:  J Chem Phys       Date:  2016-01-28       Impact factor: 3.488

2.  Comparison of Methods To Reweight from Classical Molecular Simulations to QM/MM Potentials.

Authors:  Eric C Dybeck; Gerhard König; Bernard R Brooks; Michael R Shirts
Journal:  J Chem Theory Comput       Date:  2016-03-23       Impact factor: 6.006

Review 3.  Principles and Overview of Sampling Methods for Modeling Macromolecular Structure and Dynamics.

Authors:  Tatiana Maximova; Ryan Moffatt; Buyong Ma; Ruth Nussinov; Amarda Shehu
Journal:  PLoS Comput Biol       Date:  2016-04-28       Impact factor: 4.475

4.  Calculating distribution coefficients based on multi-scale free energy simulations: an evaluation of MM and QM/MM explicit solvent simulations of water-cyclohexane transfer in the SAMPL5 challenge.

Authors:  Gerhard König; Frank C Pickard; Jing Huang; Andrew C Simmonett; Florentina Tofoleanu; Juyong Lee; Pavlo O Dral; Samarjeet Prasad; Michael Jones; Yihan Shao; Walter Thiel; Bernard R Brooks
Journal:  J Comput Aided Mol Des       Date:  2016-08-30       Impact factor: 3.686

5.  Blind prediction of distribution in the SAMPL5 challenge with QM based protomer and pK a corrections.

Authors:  Frank C Pickard; Gerhard König; Florentina Tofoleanu; Juyong Lee; Andrew C Simmonett; Yihan Shao; Jay W Ponder; Bernard R Brooks
Journal:  J Comput Aided Mol Des       Date:  2016-09-19       Impact factor: 3.686

6.  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

7.  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

8.  An explicit-solvent hybrid QM and MM approach for predicting pKa of small molecules in SAMPL6 challenge.

Authors:  Samarjeet Prasad; Jing Huang; Qiao Zeng; Bernard R Brooks
Journal:  J Comput Aided Mol Des       Date:  2018-10-01       Impact factor: 3.686

9.  An efficient protocol for obtaining accurate hydration free energies using quantum chemistry and reweighting from molecular dynamics simulations.

Authors:  Frank C Pickard; Gerhard König; Andrew C Simmonett; Yihan Shao; Bernard R Brooks
Journal:  Bioorg Med Chem       Date:  2016-08-22       Impact factor: 3.641

10.  Computation of Hydration Free Energies Using the Multiple Environment Single System Quantum Mechanical/Molecular Mechanical Method.

Authors:  Gerhard König; Ye Mei; Frank C Pickard; Andrew C Simmonett; Benjamin T Miller; John M Herbert; H Lee Woodcock; Bernard R Brooks; Yihan Shao
Journal:  J Chem Theory Comput       Date:  2015-12-11       Impact factor: 6.006

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.