Evidence map›Paper›PMID 25218695›Full record

ArticleBiochimica et biophysica acta2015

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

Gerhard König, Bernard R Brooks

Abstract read
In one paragraph

Article in Biochimica et biophysica acta, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

27 citing papers in PubMed.

  1. Quantum-Centric Alchemical Free Energy Calculations.Journal of chemical theory and computation · 2026
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  10. Use of Interaction Energies in QM/MM Free Energy Simulations.Journal of chemical theory and computation · 2019
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Gerhard KönigLaboratory of Computational Biology, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, United States. Electronic address: gerhard.koenig@nih.gov.
Bernard R BrooksLaboratory of Computational Biology, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, United States.

Funding

Development Of Theoretical Methods For Studying Biological MacromoleculesZIAHL001051 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI BROOKS, BERNARD R · 2009 to 2025
$16.2M
Intramural NIH HHS Z99 HL999999
6 · The paper itself

Abstract

backgroundFree 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.

methodsThe 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.

resultsWe 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.

conclusionsThe 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.

Indexed as

AlgorithmsMolecular Dynamics SimulationAlanineEnergy TransferEthaneMethanolMolecular StructureOscillometryReproducibility of ResultsSerineAlanineEthaneMethanolSerineBennett's acceptance ratioConstraint correctionFree energy calculationMolecular dynamics simulationNormal mode analysis

Identifiers

PMID25218695
PMCPMC4339525

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.