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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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Detalles Bibliográficos
Autores principales: Schöneberg, Johannes, Noé, Frank
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3770580/
https://www.ncbi.nlm.nih.gov/pubmed/24040218
http://dx.doi.org/10.1371/journal.pone.0074261
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author Schöneberg, Johannes
Noé, Frank
author_facet Schöneberg, Johannes
Noé, Frank
author_sort Schöneberg, Johannes
collection PubMed
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.
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spelling pubmed-37705802013-09-13 ReaDDy - A Software for Particle-Based Reaction-Diffusion Dynamics in Crowded Cellular Environments Schöneberg, Johannes Noé, Frank PLoS One Research Article 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. Public Library of Science 2013-09-11 /pmc/articles/PMC3770580/ /pubmed/24040218 http://dx.doi.org/10.1371/journal.pone.0074261 Text en © 2013 Schöneberg, Noé http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Schöneberg, Johannes
Noé, Frank
ReaDDy - A Software for Particle-Based Reaction-Diffusion Dynamics in Crowded Cellular Environments
title 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_short 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3770580/
https://www.ncbi.nlm.nih.gov/pubmed/24040218
http://dx.doi.org/10.1371/journal.pone.0074261
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