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Efficient molecular dynamics using geodesic integration and solvent–solute splitting

We present an approach to Langevin dynamics in the presence of holonomic constraints based on decomposition of the system into components representing geodesic flow, constrained impulse and constrained diffusion. We show that a particular ordering of the components results in an integrator that is a...

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Detalles Bibliográficos
Autores principales: Leimkuhler, Benedict, Matthews, Charles
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4893190/
https://www.ncbi.nlm.nih.gov/pubmed/27279779
http://dx.doi.org/10.1098/rspa.2016.0138
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author Leimkuhler, Benedict
Matthews, Charles
author_facet Leimkuhler, Benedict
Matthews, Charles
author_sort Leimkuhler, Benedict
collection PubMed
description We present an approach to Langevin dynamics in the presence of holonomic constraints based on decomposition of the system into components representing geodesic flow, constrained impulse and constrained diffusion. We show that a particular ordering of the components results in an integrator that is an order of magnitude more accurate for configurational averages than existing alternatives. Moreover, by combining the geodesic integration method with a solvent–solute force splitting, we demonstrate that stepsizes of at least 8 fs can be used for solvated biomolecules with high sampling accuracy and without substantially altering diffusion rates, approximately increasing by a factor of two the efficiency of molecular dynamics sampling for such systems. The methods described in this article are easily implemented using the standard apparatus of modern simulation codes.
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spelling pubmed-48931902016-06-08 Efficient molecular dynamics using geodesic integration and solvent–solute splitting Leimkuhler, Benedict Matthews, Charles Proc Math Phys Eng Sci Research Articles We present an approach to Langevin dynamics in the presence of holonomic constraints based on decomposition of the system into components representing geodesic flow, constrained impulse and constrained diffusion. We show that a particular ordering of the components results in an integrator that is an order of magnitude more accurate for configurational averages than existing alternatives. Moreover, by combining the geodesic integration method with a solvent–solute force splitting, we demonstrate that stepsizes of at least 8 fs can be used for solvated biomolecules with high sampling accuracy and without substantially altering diffusion rates, approximately increasing by a factor of two the efficiency of molecular dynamics sampling for such systems. The methods described in this article are easily implemented using the standard apparatus of modern simulation codes. The Royal Society Publishing 2016-05 /pmc/articles/PMC4893190/ /pubmed/27279779 http://dx.doi.org/10.1098/rspa.2016.0138 Text en © 2016 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Research Articles
Leimkuhler, Benedict
Matthews, Charles
Efficient molecular dynamics using geodesic integration and solvent–solute splitting
title Efficient molecular dynamics using geodesic integration and solvent–solute splitting
title_full Efficient molecular dynamics using geodesic integration and solvent–solute splitting
title_fullStr Efficient molecular dynamics using geodesic integration and solvent–solute splitting
title_full_unstemmed Efficient molecular dynamics using geodesic integration and solvent–solute splitting
title_short Efficient molecular dynamics using geodesic integration and solvent–solute splitting
title_sort efficient molecular dynamics using geodesic integration and solvent–solute splitting
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4893190/
https://www.ncbi.nlm.nih.gov/pubmed/27279779
http://dx.doi.org/10.1098/rspa.2016.0138
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