Hybrid models and biological model reduction with PyDSTool.

The PyDSTool software environment is designed to develop, simulate, and analyze dynamical systems models, particularly for biological applications. Unlike the engineering application focus and graphical specification environments of most general purpose simulation tools, PyDSTool provides a programm...

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Main Author: Robert Clewley
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS Computational Biology
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22912566/pdf/?tool=EBI
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spelling doaj-b6f1846b7902413fbc00f60ba4b41c322021-04-21T15:09:38ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582012-01-0188e100262810.1371/journal.pcbi.1002628Hybrid models and biological model reduction with PyDSTool.Robert ClewleyThe PyDSTool software environment is designed to develop, simulate, and analyze dynamical systems models, particularly for biological applications. Unlike the engineering application focus and graphical specification environments of most general purpose simulation tools, PyDSTool provides a programmatic environment well suited to exploratory data- and hypothesis-driven biological modeling problems. In this work, we show how the environment facilitates the application of hybrid dynamical modeling to the reverse engineering of complex biophysical dynamics; in this case, of an excitable membrane. The example demonstrates how the software provides novel tools that support the inference and validation of mechanistic hypotheses and the inclusion of data constraints in both quantitative and qualitative ways. The biophysical application is broadly relevant to models in the biosciences. The open source and platform-independent PyDSTool package is freely available under the BSD license from http://sourceforge.net/projects/pydstool/. The hosting service provides links to documentation and online forums for user support.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22912566/pdf/?tool=EBI
collection DOAJ
language English
format Article
sources DOAJ
author Robert Clewley
spellingShingle Robert Clewley
Hybrid models and biological model reduction with PyDSTool.
PLoS Computational Biology
author_facet Robert Clewley
author_sort Robert Clewley
title Hybrid models and biological model reduction with PyDSTool.
title_short Hybrid models and biological model reduction with PyDSTool.
title_full Hybrid models and biological model reduction with PyDSTool.
title_fullStr Hybrid models and biological model reduction with PyDSTool.
title_full_unstemmed Hybrid models and biological model reduction with PyDSTool.
title_sort hybrid models and biological model reduction with pydstool.
publisher Public Library of Science (PLoS)
series PLoS Computational Biology
issn 1553-734X
1553-7358
publishDate 2012-01-01
description The PyDSTool software environment is designed to develop, simulate, and analyze dynamical systems models, particularly for biological applications. Unlike the engineering application focus and graphical specification environments of most general purpose simulation tools, PyDSTool provides a programmatic environment well suited to exploratory data- and hypothesis-driven biological modeling problems. In this work, we show how the environment facilitates the application of hybrid dynamical modeling to the reverse engineering of complex biophysical dynamics; in this case, of an excitable membrane. The example demonstrates how the software provides novel tools that support the inference and validation of mechanistic hypotheses and the inclusion of data constraints in both quantitative and qualitative ways. The biophysical application is broadly relevant to models in the biosciences. The open source and platform-independent PyDSTool package is freely available under the BSD license from http://sourceforge.net/projects/pydstool/. The hosting service provides links to documentation and online forums for user support.
url https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22912566/pdf/?tool=EBI
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