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Efficient molecular dynamics using geodesic integration and solvent–solute splitting
Author(s) -
Benedict Leimkuhler,
Charles H. Matthews
Publication year - 2016
Publication title -
proceedings of the royal society a mathematical physical and engineering sciences
Language(s) - English
Resource type - Journals
eISSN - 1471-2946
pISSN - 1364-5021
DOI - 10.1098/rspa.2016.0138
Subject(s) - geodesic , integrator , molecular dynamics , statistical physics , brownian dynamics , impulse (physics) , sampling (signal processing) , biomolecule , diffusion , biological system , chemical physics , computer science , chemistry , physics , mathematics , computational chemistry , classical mechanics , materials science , brownian motion , nanotechnology , thermodynamics , mathematical analysis , voltage , filter (signal processing) , quantum mechanics , computer vision , biology
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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