add new model Liu_IFACPapersOnLine2025

[m-philipps]

Checklist for the submission of new PEtab problems

• The PEtab problem is based on a model that is peer-reviewed and published

• The problem ID is in the format {LAST_NAME_OF_FIRST_AUTHOR}_{ABBREVIATED_JOURNAL_NAME}{YEAR_OF_PUBLICATION}
  $\to$ We use IFACPapersOnLine instead of the ISO Journal abbreviation due to the - that can not be used in SBML id

• The problem ID is in the pull request title

• There is a GitHub issue for this problem: closes Add Liu_IFACPapersOnLine2025 #257

  • The problem ID is in the issue title
  • A brief model description (one or two sentences)
  • A brief data description (one or two sentences)
  • The issue and PR are linked to each other
  • Differences between the implementation and the original publication are described
  • Experience of fitting / uncertainty analysis (e.g. optimizer used, hyperparameters, reproducibility of best fit)
  • Source of nominal parameters (e.g.: taken from the original publication, or from your own fitting)

• The SBML file

  • Annotation with reference to the original publication (example)
  • The model ID and model name attributes in the SBML model file match the problem name (example)

• PEtab files

  • A "simulated data" measurement table is included, using the nominal parameters
  • A visualization table is included, that can be used with the simulated data to reproduce figures from the original publication
  • The PEtab problem is valid (check with e.g. petablint -vy problem.yaml)

• The PEtab problem author(s) are assigned to the GitHub issue

• The README has been updated with bmp-create-overview --update (requires pip install -e src/python/bmp from the repository root)

  • The new PEtab problem row in the generated table has the correct reference (and other entries)

• closes Add Liu_IFACPapersOnLine2025 #257

[dilpath]

Great, and thanks for fixing the other model metadata in the README