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

PLoS computational 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

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.

PMID: 33497393

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