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Multiscale reaction-diffusion simulations with Smoldyn

Abstract:

Summary: Smoldyn is a software package for stochastic modelling of spatial biochemical networks and intracellular systems. It was originally developed with an accurate off-lattice particle-based model at its core. This has recently been enhanced with the addition of a computationally efficient on-lattice model, which can be run stand-alone or coupled together for multiscale simulations using both models in regions where they are most required, increasing the applicability of Smoldyn to larger molecule numbers and spatial domains. Simulations can switch between models with only small additions to their configuration file, enabling users with existing Smoldyn configuration files to run the new on-lattice model with any reaction, species or surface descriptions they might already have.
Availability and Implementation: Source code and binaries freely available for download at www.smoldyn.org, implemented in C/C++ and supported on Linux, Mac OSX and MS Windows.
Contact:[email protected]
Supplementary Information: Supplementary data are available at Bioinformatics online and include additional details on model specification and modelling of surfaces, as well as the Smoldyn configuration file used to generate Figure 1.

Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1093/bioinformatics/btv149

Authors

More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author


Publisher:
Oxford University Press
Journal:
Bioinformatics More from this journal
Volume:
31
Issue:
14
Pages:
2406–2408
Publication date:
2015-03-18
Acceptance date:
2015-03-11
DOI:
EISSN:
1367-4811
ISSN:
1367-4803
Pmid:
25788627


Language:
English
Keywords:
Pubs id:
pubs:514930
UUID:
uuid:e00a005b-dbfa-4e1d-b5ca-b9fbb4b466b6
Local pid:
pubs:514930
Source identifiers:
514930
Deposit date:
2017-04-28
ARK identifier:

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