Modeling of chemokine signaling pathway

  • Authors:
  • Nasreen Haque;Isaac Barjis;Niloufar Haque;Walied Samarrai

  • Affiliations:
  • New York City College of Technology;New York City College of Technology;New York City College of Technology;New York City College of Technology

  • Venue:
  • SCSC '09 Proceedings of the 2009 Summer Computer Simulation Conference
  • Year:
  • 2009

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Abstract

Chemokines are a family of closely related proteins which bind to G-protein coupled receptors that comprise a family of seven transmembrane spanning domains. They are involved mainly in cell chemotaxis and proliferation. Advances in molecular and biochemical techniques have generated vast amount of data on molecular mechanisms of chemokine signaling pathway. However a systemic understanding of chemokine signaling pathway is still missing. Systems biology aims to gain a system-level understanding of living systems. To achieve such an understanding, we need to establish the methodologies and techniques to understand biological systems in their full complexity. In this paper we use Petri nets to model, analyze and simulate the process of chemokine signaling pathway based on available experimental data. Our model will describe the molecular mechanisms of chemokine signaling as explicitly and formally as possible. This will enable us to qualitatively understand the cell signaling behavior at systems-level. In order to model the chemokine signaling pathway we introduced some extensions to the graphical notation of ordinary Petri nets. Than we used the extended Petri net to model, simulate and analyze the chemokine signaling pathway.