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ODEbase: a repository of ODE systems for systems biology

SUMMARY: Recently, symbolic computation and computer algebra systems have been successfully applied in systems biology, especially in chemical reaction network theory. One advantage of symbolic computation is its potential for qualitative answers to biological questions. Qualitative methods analyze...

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Detalles Bibliográficos
Autores principales: Lüders, Christoph, Sturm, Thomas, Radulescu, Ovidiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710575/
https://www.ncbi.nlm.nih.gov/pubmed/36699350
http://dx.doi.org/10.1093/bioadv/vbac027
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author Lüders, Christoph
Sturm, Thomas
Radulescu, Ovidiu
author_facet Lüders, Christoph
Sturm, Thomas
Radulescu, Ovidiu
author_sort Lüders, Christoph
collection PubMed
description SUMMARY: Recently, symbolic computation and computer algebra systems have been successfully applied in systems biology, especially in chemical reaction network theory. One advantage of symbolic computation is its potential for qualitative answers to biological questions. Qualitative methods analyze dynamical input systems as formal objects, in contrast to investigating only part of the state space, as is the case with numerical simulation. However, corresponding tools and libraries have a different set of requirements for their input data than their numerical counterparts. A common format used in mathematical modeling of biological processes is Systems Biology Markup Language (SBML). We illustrate that the use of SBML data in symbolic computation requires significant pre-processing, incorporating external biological and mathematical expertise. ODEbase provides suitable input data derived from established existing biomodels, covering in particular the BioModels database. AVAILABILITY AND IMPLEMENTATION: ODEbase is available free of charge at https://odebase.org.
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spelling pubmed-97105752023-01-24 ODEbase: a repository of ODE systems for systems biology Lüders, Christoph Sturm, Thomas Radulescu, Ovidiu Bioinform Adv Application Note SUMMARY: Recently, symbolic computation and computer algebra systems have been successfully applied in systems biology, especially in chemical reaction network theory. One advantage of symbolic computation is its potential for qualitative answers to biological questions. Qualitative methods analyze dynamical input systems as formal objects, in contrast to investigating only part of the state space, as is the case with numerical simulation. However, corresponding tools and libraries have a different set of requirements for their input data than their numerical counterparts. A common format used in mathematical modeling of biological processes is Systems Biology Markup Language (SBML). We illustrate that the use of SBML data in symbolic computation requires significant pre-processing, incorporating external biological and mathematical expertise. ODEbase provides suitable input data derived from established existing biomodels, covering in particular the BioModels database. AVAILABILITY AND IMPLEMENTATION: ODEbase is available free of charge at https://odebase.org. Oxford University Press 2022-04-26 /pmc/articles/PMC9710575/ /pubmed/36699350 http://dx.doi.org/10.1093/bioadv/vbac027 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Application Note
Lüders, Christoph
Sturm, Thomas
Radulescu, Ovidiu
ODEbase: a repository of ODE systems for systems biology
title ODEbase: a repository of ODE systems for systems biology
title_full ODEbase: a repository of ODE systems for systems biology
title_fullStr ODEbase: a repository of ODE systems for systems biology
title_full_unstemmed ODEbase: a repository of ODE systems for systems biology
title_short ODEbase: a repository of ODE systems for systems biology
title_sort odebase: a repository of ode systems for systems biology
topic Application Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710575/
https://www.ncbi.nlm.nih.gov/pubmed/36699350
http://dx.doi.org/10.1093/bioadv/vbac027
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