ReaDDy--a software for particle-based reaction-diffusion dynamics in crowded cellular environments.

We introduce the software package ReaDDy for simulation of detailed spatiotemporal mechanisms of dynamical processes in the cell, based on reaction-diffusion dynamics with particle resolution. In contrast to other particle-based reaction kinetics programs, ReaDDy supports particle interaction potent...

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Main Authors: Johannes Schöneberg, Frank Noé
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3770580?pdf=render
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spelling doaj-0390ebcc7da244a8a93d06efd3fff3c72020-11-25T01:34:53ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-0189e7426110.1371/journal.pone.0074261ReaDDy--a software for particle-based reaction-diffusion dynamics in crowded cellular environments.Johannes SchönebergFrank NoéWe introduce the software package ReaDDy for simulation of detailed spatiotemporal mechanisms of dynamical processes in the cell, based on reaction-diffusion dynamics with particle resolution. In contrast to other particle-based reaction kinetics programs, ReaDDy supports particle interaction potentials. This permits effects such as space exclusion, molecular crowding and aggregation to be modeled. The biomolecules simulated can be represented as a sphere, or as a more complex geometry such as a domain structure or polymer chain. ReaDDy bridges the gap between small-scale but highly detailed molecular dynamics or Brownian dynamics simulations and large-scale but little-detailed reaction kinetics simulations. ReaDDy has a modular design that enables the exchange of the computing core by efficient platform-specific implementations or dynamical models that are different from Brownian dynamics.http://europepmc.org/articles/PMC3770580?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Johannes Schöneberg
Frank Noé
spellingShingle Johannes Schöneberg
Frank Noé
ReaDDy--a software for particle-based reaction-diffusion dynamics in crowded cellular environments.
PLoS ONE
author_facet Johannes Schöneberg
Frank Noé
author_sort Johannes Schöneberg
title ReaDDy--a software for particle-based reaction-diffusion dynamics in crowded cellular environments.
title_short ReaDDy--a software for particle-based reaction-diffusion dynamics in crowded cellular environments.
title_full ReaDDy--a software for particle-based reaction-diffusion dynamics in crowded cellular environments.
title_fullStr ReaDDy--a software for particle-based reaction-diffusion dynamics in crowded cellular environments.
title_full_unstemmed ReaDDy--a software for particle-based reaction-diffusion dynamics in crowded cellular environments.
title_sort readdy--a software for particle-based reaction-diffusion dynamics in crowded cellular environments.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2013-01-01
description We introduce the software package ReaDDy for simulation of detailed spatiotemporal mechanisms of dynamical processes in the cell, based on reaction-diffusion dynamics with particle resolution. In contrast to other particle-based reaction kinetics programs, ReaDDy supports particle interaction potentials. This permits effects such as space exclusion, molecular crowding and aggregation to be modeled. The biomolecules simulated can be represented as a sphere, or as a more complex geometry such as a domain structure or polymer chain. ReaDDy bridges the gap between small-scale but highly detailed molecular dynamics or Brownian dynamics simulations and large-scale but little-detailed reaction kinetics simulations. ReaDDy has a modular design that enables the exchange of the computing core by efficient platform-specific implementations or dynamical models that are different from Brownian dynamics.
url http://europepmc.org/articles/PMC3770580?pdf=render
work_keys_str_mv AT johannesschoneberg readdyasoftwareforparticlebasedreactiondiffusiondynamicsincrowdedcellularenvironments
AT franknoe readdyasoftwareforparticlebasedreactiondiffusiondynamicsincrowdedcellularenvironments
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