ArticleBMC biophysics2011
Many-particle Brownian and Langevin Dynamics Simulations with the Brownmove package.
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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14 citing papers in PubMed.
- Simulating Dilute-Solution Properties and Behavior of Flexible Macromolecules: A Review of Brownian Dynamics, Monte Carlo Methods, and Computational Tools (SIMUFLEX and MONTEHYDRO) with Applications to Biomacromolecules and Selected Synthetic Polymers.International journal of molecular sciences · 2026Review
- Secondary Nucleation of Aβ Revealed by Single-Molecule and Computational Approaches.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Mechanistic insights into condensate formation of human liver-type phosphofructokinase by stochastic modeling approaches.Scientific reports · 2024Article
- Orientationally Averaged Version of the Rotne-Prager-Yamakawa Tensor Provides a Fast but Still Accurate Treatment of Hydrodynamic Interactions in Brownian Dynamics Simulations of Biological Macromolecules.Journal of chemical theory and computation · 2023Article
- Hierarchical Coarse-Grained Strategy for Macromolecular Self-Assembly: Application to Hepatitis B Virus-Like Particles.International journal of molecular sciences · 2022Article
- Systematic Dissociation Pathway Searches Guided by Principal Component Modes.Journal of chemical theory and computation · 2017Article
- Understanding ligand-receptor non-covalent binding kinetics using molecular modeling.Frontiers in bioscience (Landmark edition) · 2017Review
- Hybrid finite element and Brownian dynamics method for charged particles.The Journal of chemical physics · 2016Article
- Bridging scales through multiscale modeling: a case study on protein kinase A.Frontiers in physiology · 2015Review
- A molecule-centered method for accelerating the calculation of hydrodynamic interactions in Brownian dynamics simulations containing many flexible biomolecules.Journal of chemical theory and computation · 2013Article
- ReaDDy--a software for particle-based reaction-diffusion dynamics in crowded cellular environments.PloS one · 2013Article
- Krylov subspace methods for computing hydrodynamic interactions in brownian dynamics simulations.The Journal of chemical physics · 2012Article
- Hybrid finite element and Brownian dynamics method for diffusion-controlled reactions.The Journal of chemical physics · 2012Article
- Spatial simulations in systems biology: from molecules to cells.International journal of molecular sciences · 2012Review
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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.
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