PT  - JOURNAL ARTICLE
AU  - Hass, Helge
AU  - Loos, Carolin
AU  - Alvarez, Elba Raimundez
AU  - Timmer, Jens
AU  - Hasenauer, Jan
AU  - Kreutz, Clemens
TI  - Benchmark Problems for Dynamic Modeling of Intracellular Processes
AID  - 10.1101/404590
DP  - 2018 Jan 01
TA  - bioRxiv
PG  - 404590
4099  - http://biorxiv.org/content/early/2018/08/30/404590.short
4100  - http://biorxiv.org/content/early/2018/08/30/404590.full
AB  - Motivation Dynamic models are used in systems biology to study and understand cellular processes like gene regulation or signal transduction. Frequently, ordinary differential equation (ODE) models are used to model the time and dose dependency of the abundances of molecular compounds as well as interactions and translocations. A multitude of computational approaches have been developed within recent years. However, many of these approaches lack proper testing in application settings because a comprehensive set of benchmark problems is yet missing.Results We present a collection of 20 ODE models developed given experimental data as benchmark problems in order to evaluate new and existing methodologies, e.g. for parameter estimation or uncertainty analysis. In addition to the equations of the dynamical system, the benchmark collection provides experimental measurements as well as observation functions and assumptions about measurement noise distributions and parameters. The presented benchmark models comprise problems of different size, complexity and numerical demands. Important characteristics of the models and methodological requirements are summarized, estimated parameters are provided, and some example studies were performed for illustrating the capabilities of the presented benchmark collection.Availability The models are provided in several standardized formats, including an easy-to-use human readable form and machine-readable SBML files. The data is provided as Excel sheets. All files are available at https://github.com/Benchmarking-Initiative/Benchmark-Models, with MATLAB code to process and simulate the models.Contact jan.hasenauer{at}helmholtz-muenchen.de, ckreutz{at}fdm.uni-freiburg.de