Petri nets approach to modeling of immune system and autism

  • Authors:
  • Anna Gogolinska;Wieslaw Nowak

  • Affiliations:
  • Faculty of Mathematics and Computer Science, Nicolaus Copernicus University, Toruń, Poland, Institute of Physics, Nicolaus Copernicus University, Toruń, Poland;Institute of Physics, Nicolaus Copernicus University, Toruń, Poland

  • Venue:
  • ICARIS'12 Proceedings of the 11th international conference on Artificial Immune Systems
  • Year:
  • 2012

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Abstract

Algorithms based on graphs and networks offer great potential for modeling of physiological processes. In this paper bipartite graphs called Petri Nets (PN) are presented and their utility in modeling of the immune system is highlighted. We present our improved PN model of the immune system. The coupling between fever and autism is studied using this model. It is shown that fever may shift the level of IL-1, IL-6 cytokines in autistic subjects closer to standard physiological values. This is in accordance with a recent observation that fever improves behavior of autistic children, reported in medical literature.