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PEtab-Interoperable specification of parameter estimation problems in systems biology.

Authors :
Leonard Schmiester
Yannik Schälte
Frank T Bergmann
Tacio Camba
Erika Dudkin
Janine Egert
Fabian Fröhlich
Lara Fuhrmann
Adrian L Hauber
Svenja Kemmer
Polina Lakrisenko
Carolin Loos
Simon Merkt
Wolfgang Müller
Dilan Pathirana
Elba Raimúndez
Lukas Refisch
Marcus Rosenblatt
Paul L Stapor
Philipp Städter
Dantong Wang
Franz-Georg Wieland
Julio R Banga
Jens Timmer
Alejandro F Villaverde
Sven Sahle
Clemens Kreutz
Jan Hasenauer
Daniel Weindl
Source :
PLoS Computational Biology, Vol 17, Iss 1, p e1008646 (2021)
Publication Year :
2021
Publisher :
Public Library of Science (PLoS), 2021.

Abstract

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.

Subjects

Subjects :
Biology (General)
QH301-705.5

Details

Language :
English
ISSN :
1553734X and 15537358
Volume :
17
Issue :
1
Database :
Directory of Open Access Journals
Journal :
PLoS Computational Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.3dd6d0bbd004deaba2fc5b1d5df8992
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pcbi.1008646