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PEtab—Interoperable specification of parameter estimation problems in systems biology
Reproducibility and reusability of the results of data-based modeling studies are essential. Yet, there has been—so far—no broadly supported format for the specification of parameter estimation problems in systems biology. Here, we introduce PEtab, a format which facilitates the specification of par...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7864467/ https://www.ncbi.nlm.nih.gov/pubmed/33497393 http://dx.doi.org/10.1371/journal.pcbi.1008646 |
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author | Schmiester, Leonard Schälte, Yannik Bergmann, Frank T. Camba, Tacio Dudkin, Erika Egert, Janine Fröhlich, Fabian Fuhrmann, Lara Hauber, Adrian L. Kemmer, Svenja Lakrisenko, Polina Loos, Carolin Merkt, Simon Müller, Wolfgang Pathirana, Dilan Raimúndez, Elba Refisch, Lukas Rosenblatt, Marcus Stapor, Paul L. Städter, Philipp Wang, Dantong Wieland, Franz-Georg Banga, Julio R. Timmer, Jens Villaverde, Alejandro F. Sahle, Sven Kreutz, Clemens Hasenauer, Jan Weindl, Daniel |
author_facet | Schmiester, Leonard Schälte, Yannik Bergmann, Frank T. Camba, Tacio Dudkin, Erika Egert, Janine Fröhlich, Fabian Fuhrmann, Lara Hauber, Adrian L. Kemmer, Svenja Lakrisenko, Polina Loos, Carolin Merkt, Simon Müller, Wolfgang Pathirana, Dilan Raimúndez, Elba Refisch, Lukas Rosenblatt, Marcus Stapor, Paul L. Städter, Philipp Wang, Dantong Wieland, Franz-Georg Banga, Julio R. Timmer, Jens Villaverde, Alejandro F. Sahle, Sven Kreutz, Clemens Hasenauer, Jan Weindl, Daniel |
author_sort | Schmiester, Leonard |
collection | PubMed |
description | Reproducibility and reusability of the results of data-based modeling studies are essential. Yet, there has been—so far—no broadly supported format for the specification of parameter estimation problems in systems biology. Here, we introduce PEtab, a format which facilitates the specification of parameter estimation problems using Systems Biology Markup Language (SBML) models and a set of tab-separated value files describing the observation model and experimental data as well as parameters to be estimated. We already implemented PEtab support into eight well-established model simulation and parameter estimation toolboxes with hundreds of users in total. We provide a Python library for validation and modification of a PEtab problem and currently 20 example parameter estimation problems based on recent studies. |
format | Online Article Text |
id | pubmed-7864467 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-78644672021-02-12 PEtab—Interoperable specification of parameter estimation problems in systems biology Schmiester, Leonard Schälte, Yannik Bergmann, Frank T. Camba, Tacio Dudkin, Erika Egert, Janine Fröhlich, Fabian Fuhrmann, Lara Hauber, Adrian L. Kemmer, Svenja Lakrisenko, Polina Loos, Carolin Merkt, Simon Müller, Wolfgang Pathirana, Dilan Raimúndez, Elba Refisch, Lukas Rosenblatt, Marcus Stapor, Paul L. Städter, Philipp Wang, Dantong Wieland, Franz-Georg Banga, Julio R. Timmer, Jens Villaverde, Alejandro F. Sahle, Sven Kreutz, Clemens Hasenauer, Jan Weindl, Daniel PLoS Comput Biol Research Article Reproducibility and reusability of the results of data-based modeling studies are essential. Yet, there has been—so far—no broadly supported format for the specification of parameter estimation problems in systems biology. Here, we introduce PEtab, a format which facilitates the specification of parameter estimation problems using Systems Biology Markup Language (SBML) models and a set of tab-separated value files describing the observation model and experimental data as well as parameters to be estimated. We already implemented PEtab support into eight well-established model simulation and parameter estimation toolboxes with hundreds of users in total. We provide a Python library for validation and modification of a PEtab problem and currently 20 example parameter estimation problems based on recent studies. Public Library of Science 2021-01-26 /pmc/articles/PMC7864467/ /pubmed/33497393 http://dx.doi.org/10.1371/journal.pcbi.1008646 Text en © 2021 Schmiester 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 Schmiester, Leonard Schälte, Yannik Bergmann, Frank T. Camba, Tacio Dudkin, Erika Egert, Janine Fröhlich, Fabian Fuhrmann, Lara Hauber, Adrian L. Kemmer, Svenja Lakrisenko, Polina Loos, Carolin Merkt, Simon Müller, Wolfgang Pathirana, Dilan Raimúndez, Elba Refisch, Lukas Rosenblatt, Marcus Stapor, Paul L. Städter, Philipp Wang, Dantong Wieland, Franz-Georg Banga, Julio R. Timmer, Jens Villaverde, Alejandro F. Sahle, Sven Kreutz, Clemens Hasenauer, Jan Weindl, Daniel PEtab—Interoperable specification of parameter estimation problems in systems biology |
title | PEtab—Interoperable specification of parameter estimation problems in systems biology |
title_full | PEtab—Interoperable specification of parameter estimation problems in systems biology |
title_fullStr | PEtab—Interoperable specification of parameter estimation problems in systems biology |
title_full_unstemmed | PEtab—Interoperable specification of parameter estimation problems in systems biology |
title_short | PEtab—Interoperable specification of parameter estimation problems in systems biology |
title_sort | petab—interoperable specification of parameter estimation problems in systems biology |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7864467/ https://www.ncbi.nlm.nih.gov/pubmed/33497393 http://dx.doi.org/10.1371/journal.pcbi.1008646 |
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