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. 2021 Jan 29;11:2696. doi: 10.1038/s41598-021-82196-2

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© The Author(s) 2021

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Model collection. (a) Workflow of collecting models for the benchmark collection. Models were downloaded, grouped according to their number of species and reactions, the author name and year of their publication, imported with AMICI and COPASI, and simulation results were compared to reference trajectories using multiple solver settings. (b) Basic properties (number of state variables and reactions) of the benchmark collection models, as joint scatter plot, indicating the number of accepted, rejected, and the total number of grouped models. The distributions of the numbers of state variables and numbers of reactions were compared for all imported models, vs. accepted models vs. rejected models by a Kolmogorov-Smirnov test, to assess a possible bias due to the filtering step.