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ReaDDy 2: Fast and flexible software framework for interacting-particle reaction dynamics
Interacting-particle reaction dynamics (iPRD) combines the simulation of dynamical trajectories of interacting particles as in molecular dynamics (MD) simulations with reaction kinetics, in which particles appear, disappear, or change their type and interactions based on a set of reaction rules. Thi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6413953/ https://www.ncbi.nlm.nih.gov/pubmed/30818351 http://dx.doi.org/10.1371/journal.pcbi.1006830 |
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author | Hoffmann, Moritz Fröhner, Christoph Noé, Frank |
author_facet | Hoffmann, Moritz Fröhner, Christoph Noé, Frank |
author_sort | Hoffmann, Moritz |
collection | PubMed |
description | Interacting-particle reaction dynamics (iPRD) combines the simulation of dynamical trajectories of interacting particles as in molecular dynamics (MD) simulations with reaction kinetics, in which particles appear, disappear, or change their type and interactions based on a set of reaction rules. This combination facilitates the simulation of reaction kinetics in crowded environments, involving complex molecular geometries such as polymers, and employing complex reaction mechanisms such as breaking and fusion of polymers. iPRD simulations are ideal to simulate the detailed spatiotemporal reaction mechanism in complex and dense environments, such as in signalling processes at cellular membranes, or in nano- to microscale chemical reactors. Here we introduce the iPRD software ReaDDy 2, which provides a Python interface in which the simulation environment, particle interactions and reaction rules can be conveniently defined and the simulation can be run, stored and analyzed. A C++ interface is available to enable deeper and more flexible interactions with the framework. The main computational work of ReaDDy 2 is done in hardware-specific simulation kernels. While the version introduced here provides single- and multi-threading CPU kernels, the architecture is ready to implement GPU and multi-node kernels. We demonstrate the efficiency and validity of ReaDDy 2 using several benchmark examples. ReaDDy 2 is available at the https://readdy.github.io/ website. |
format | Online Article Text |
id | pubmed-6413953 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-64139532019-04-01 ReaDDy 2: Fast and flexible software framework for interacting-particle reaction dynamics Hoffmann, Moritz Fröhner, Christoph Noé, Frank PLoS Comput Biol Research Article Interacting-particle reaction dynamics (iPRD) combines the simulation of dynamical trajectories of interacting particles as in molecular dynamics (MD) simulations with reaction kinetics, in which particles appear, disappear, or change their type and interactions based on a set of reaction rules. This combination facilitates the simulation of reaction kinetics in crowded environments, involving complex molecular geometries such as polymers, and employing complex reaction mechanisms such as breaking and fusion of polymers. iPRD simulations are ideal to simulate the detailed spatiotemporal reaction mechanism in complex and dense environments, such as in signalling processes at cellular membranes, or in nano- to microscale chemical reactors. Here we introduce the iPRD software ReaDDy 2, which provides a Python interface in which the simulation environment, particle interactions and reaction rules can be conveniently defined and the simulation can be run, stored and analyzed. A C++ interface is available to enable deeper and more flexible interactions with the framework. The main computational work of ReaDDy 2 is done in hardware-specific simulation kernels. While the version introduced here provides single- and multi-threading CPU kernels, the architecture is ready to implement GPU and multi-node kernels. We demonstrate the efficiency and validity of ReaDDy 2 using several benchmark examples. ReaDDy 2 is available at the https://readdy.github.io/ website. Public Library of Science 2019-02-28 /pmc/articles/PMC6413953/ /pubmed/30818351 http://dx.doi.org/10.1371/journal.pcbi.1006830 Text en © 2019 Hoffmann et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Hoffmann, Moritz Fröhner, Christoph Noé, Frank ReaDDy 2: Fast and flexible software framework for interacting-particle reaction dynamics |
title | ReaDDy 2: Fast and flexible software framework for interacting-particle reaction dynamics |
title_full | ReaDDy 2: Fast and flexible software framework for interacting-particle reaction dynamics |
title_fullStr | ReaDDy 2: Fast and flexible software framework for interacting-particle reaction dynamics |
title_full_unstemmed | ReaDDy 2: Fast and flexible software framework for interacting-particle reaction dynamics |
title_short | ReaDDy 2: Fast and flexible software framework for interacting-particle reaction dynamics |
title_sort | readdy 2: fast and flexible software framework for interacting-particle reaction dynamics |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6413953/ https://www.ncbi.nlm.nih.gov/pubmed/30818351 http://dx.doi.org/10.1371/journal.pcbi.1006830 |
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