Cargando…
Compartor: a toolbox for the automatic generation of moment equations for dynamic compartment populations
SUMMARY: Many biochemical processes in living organisms take place inside compartments that can interact with each other and remodel over time. In a recent work, we have shown how the stochastic dynamics of a compartmentalized biochemical system can be effectively studied using moment equations. Wit...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8428613/ https://www.ncbi.nlm.nih.gov/pubmed/33538766 http://dx.doi.org/10.1093/bioinformatics/btab058 |
_version_ | 1783750410288234496 |
---|---|
author | Pietzsch, Tobias Duso, Lorenzo Zechner, Christoph |
author_facet | Pietzsch, Tobias Duso, Lorenzo Zechner, Christoph |
author_sort | Pietzsch, Tobias |
collection | PubMed |
description | SUMMARY: Many biochemical processes in living organisms take place inside compartments that can interact with each other and remodel over time. In a recent work, we have shown how the stochastic dynamics of a compartmentalized biochemical system can be effectively studied using moment equations. With this technique, the time evolution of a compartment population is summarized using a finite number of ordinary differential equations, which can be analyzed very efficiently. However, the derivation of moment equations by hand can become time-consuming for systems comprising multiple reactants and interactions. Here we present Compartor, a toolbox that automatically generates the moment equations associated with a user-defined compartmentalized system. Through the moment equation method, Compartor renders the analysis of stochastic population models accessible to a broader scientific community. AVAILABILITY AND IMPLEMENTATION: Compartor is provided as a Python package and is available at https://pypi.org/project/compartor/. Source code and usage tutorials for Compartor are available at https://github.com/zechnerlab/Compartor. |
format | Online Article Text |
id | pubmed-8428613 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-84286132021-09-10 Compartor: a toolbox for the automatic generation of moment equations for dynamic compartment populations Pietzsch, Tobias Duso, Lorenzo Zechner, Christoph Bioinformatics Applications Notes SUMMARY: Many biochemical processes in living organisms take place inside compartments that can interact with each other and remodel over time. In a recent work, we have shown how the stochastic dynamics of a compartmentalized biochemical system can be effectively studied using moment equations. With this technique, the time evolution of a compartment population is summarized using a finite number of ordinary differential equations, which can be analyzed very efficiently. However, the derivation of moment equations by hand can become time-consuming for systems comprising multiple reactants and interactions. Here we present Compartor, a toolbox that automatically generates the moment equations associated with a user-defined compartmentalized system. Through the moment equation method, Compartor renders the analysis of stochastic population models accessible to a broader scientific community. AVAILABILITY AND IMPLEMENTATION: Compartor is provided as a Python package and is available at https://pypi.org/project/compartor/. Source code and usage tutorials for Compartor are available at https://github.com/zechnerlab/Compartor. Oxford University Press 2021-02-04 /pmc/articles/PMC8428613/ /pubmed/33538766 http://dx.doi.org/10.1093/bioinformatics/btab058 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Applications Notes Pietzsch, Tobias Duso, Lorenzo Zechner, Christoph Compartor: a toolbox for the automatic generation of moment equations for dynamic compartment populations |
title | Compartor: a toolbox for the automatic generation of moment equations for dynamic compartment populations |
title_full | Compartor: a toolbox for the automatic generation of moment equations for dynamic compartment populations |
title_fullStr | Compartor: a toolbox for the automatic generation of moment equations for dynamic compartment populations |
title_full_unstemmed | Compartor: a toolbox for the automatic generation of moment equations for dynamic compartment populations |
title_short | Compartor: a toolbox for the automatic generation of moment equations for dynamic compartment populations |
title_sort | compartor: a toolbox for the automatic generation of moment equations for dynamic compartment populations |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8428613/ https://www.ncbi.nlm.nih.gov/pubmed/33538766 http://dx.doi.org/10.1093/bioinformatics/btab058 |
work_keys_str_mv | AT pietzschtobias compartoratoolboxfortheautomaticgenerationofmomentequationsfordynamiccompartmentpopulations AT dusolorenzo compartoratoolboxfortheautomaticgenerationofmomentequationsfordynamiccompartmentpopulations AT zechnerchristoph compartoratoolboxfortheautomaticgenerationofmomentequationsfordynamiccompartmentpopulations |