Model structure validation of cell signaling pathways using colored petri nets

Dvid Csercsik, Katalin M. Hangos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we propose a novel colored timed Petri net modelling approach for model structure validation of cell signaling pathways. The aim is to distinguish between models of different structures based on typically qualitative, roughly detailed measurement data. In this approach, tokens are present all the time at all of the places, and their color corresponds to the actual quantized activation state of the signaling component. The activation states are updated according to the progression of the signal through the signaling network. We demonstrate the results on a signaling network, which describes the interaction of fast (G protein coupled) and slow (β-arrestin coupled) transmission.

Original languageEnglish
Title of host publication8th International Symposium on Advanced Control of Chemical Processes, ADCHEM 2012
Pages463-468
Number of pages6
EditionPART 1
DOIs
Publication statusPublished - Oct 9 2012
Event8th International Symposium on Advanced Control of Chemical Processes, ADCHEM 2012 - Singapore, Singapore
Duration: Jul 10 2012Jul 13 2012

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
Volume8
ISSN (Print)1474-6670

Other

Other8th International Symposium on Advanced Control of Chemical Processes, ADCHEM 2012
CountrySingapore
CitySingapore
Period7/10/127/13/12

Keywords

  • Control applications in biological processes
  • Modeling and identification

ASJC Scopus subject areas

  • Control and Systems Engineering

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  • Cite this

    Csercsik, D., & Hangos, K. M. (2012). Model structure validation of cell signaling pathways using colored petri nets. In 8th International Symposium on Advanced Control of Chemical Processes, ADCHEM 2012 (PART 1 ed., pp. 463-468). (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 8, No. PART 1). https://doi.org/10.3182/20120710-4-SG-2026.00005