Feedback

Holistic View on the Structure of Immune Response: Petri Net Model

ORCID
0000-0002-0300-7027
Affiliation
Molecular Bioinformatics, Institute of Computer Science, Goethe University Frankfurt, Robert-Mayer Str. 11-15, 60325 Frankfurt am Main, Germany
Scharf, Sonja;
ORCID
0000-0002-9942-0958
Affiliation
Molecular Bioinformatics, Institute of Computer Science, Goethe University Frankfurt, Robert-Mayer Str. 11-15, 60325 Frankfurt am Main, Germany
Ackermann, Jörg;
Affiliation
Molecular Bioinformatics, Institute of Computer Science, Goethe University Frankfurt, Robert-Mayer Str. 11-15, 60325 Frankfurt am Main, Germany
Bender, Leonie;
ORCID
0000-0002-2366-9124
Affiliation
Molecular Bioinformatics, Institute of Computer Science, Goethe University Frankfurt, Robert-Mayer Str. 11-15, 60325 Frankfurt am Main, Germany
Wurzel, Patrick;
Affiliation
Institute of General Pharmacology and Toxicology, Goethe University Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
Schäfer, Hendrik;
Affiliation
Frankfurt Institute for Advanced Studies, Ruth-Moufang-Str. 1, 60438 Frankfurt am Main, Germany
Hansmann, Martin-Leo;
ORCID
0000-0002-3621-003X
Affiliation
Molecular Bioinformatics, Institute of Computer Science, Goethe University Frankfurt, Robert-Mayer Str. 11-15, 60325 Frankfurt am Main, Germany
Koch, Ina

The simulation of immune response is a challenging task because quantitative data are scarce. Quantitative theoretical models either focus on specific cell–cell interactions or have to make assumptions about parameters. The broad variation of, e.g., the dimensions and abundance between lymph nodes as well as between individual patients hampers conclusive quantitative modeling. No theoretical model has been established representing a consensus on the set of major cellular processes involved in the immune response. In this paper, we apply the Petri net formalism to construct a semi-quantitative mathematical model of the lymph nodes. The model covers the major cellular processes of immune response and fulfills the formal requirements of Petri net models. The intention is to develop a model taking into account the viewpoints of experienced pathologists and computer scientists in the field of systems biology. In order to verify formal requirements, we discuss invariant properties and apply the asynchronous firing rule of a place/transition net. Twenty-five transition invariants cover the model, and each is assigned to a functional mode of the immune response. In simulations, the Petri net model describes the dynamic modes of the immune response, its adaption to antigens, and its loss of memory.

Cite

Citation style:
Could not load citation form.

Access Statistic

Total:
Downloads:
Abtractviews:
Last 12 Month:
Downloads:
Abtractviews:

Rights

License Holder: © 2023 by the authors.

Use and reproduction: