Evidence map›Paper›PMID 21596002›Full record

ArticleBMC biophysics2011

Many-particle Brownian and Langevin Dynamics Simulations with the Brownmove package.

Tihamér Geyer

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Article in BMC biophysics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

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14citing papers in PubMed
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3 · Its place in the literature

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14 citing papers in PubMed.

  1. Review
  2. Secondary Nucleation of Aβ Revealed by Single-Molecule and Computational Approaches.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
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  14. Spatial simulations in systems biology: from molecules to cells.International journal of molecular sciences · 2012
    Review
4 · The record

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5 · Who and what money

Authors and funding

1 author.

Tihamér GeyerCenter for Bioinformatics, Saarland University, D-66123 Saarbrücken, Germany. tihamer.geyer@bioinformatik.uni-saarland.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBrownian Dynamics (BD) is a coarse-grained implicit-solvent simulation method that is routinely used to investigate binary protein association dynamics, but due to its efficiency in handling large simulation volumes and particle numbers it is well suited to also describe many-protein scenarios as they often occur in biological cells.

resultsHere we introduce our "brownmove" simulation package which was designed to handle many-particle problems with varying particle numbers and allows for a very flexible definition of rigid and flexible protein and polymer models. Both a Brownian and a Langevin dynamics (LD) propagation scheme can be used and hydrodynamic interactions are treated efficiently with our recently introduced TEA-HI ansatz [Geyer, Winter, JCP 130 (2009) 114905]. With simulations of constrained polymers and flexible models of spherical proteins we demonstrate that it is crucial to include hydrodynamics when multi-bead models are used in BD or LD simulations. Only then both the translational and the rotational diffusion coefficients and the timescales of the internal dynamics can be reproduced correctly. In the third example project we show how constant density boundary conditions [Geyer et al, JCP 120 (2004) 4573] can be used to set up a non-equilibrium simulation of diffusional transport across an array of fixed obstacles. Finally, we demonstrate how the agglomeration dynamics of multiple particles with attractive patches can be analysed conveniently with the help of a dynamic interaction network.

conclusionsCombining BD and LD propagation, fast hydrodynamics, a flexible protein model, and interfaces for "open" simulation settings, our freely available "brownmove" simulation package constitutes a new platform for coarse-grained many-particle simulations of biologically relevant diffusion and transport processes.

Identifiers

PMID21596002
PMCPMC3098214

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