A Model of Immune Suppression and Repertoire Evolution

  • John Burns
  • Heather J. Ruskin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2657)


We present a stochastic cellular automata model that allows us to study both localized and generalized aspects of the immune system (IS). We show how critical values for T Cell Receptor (TCR) affinity and cross-reactivity (ρ) can determine the course of a viral infection. The model presented here offers insight into the widely varying pathology of infectious agents across individuals. Additionally, our model points to ways in which auto-immune disease can occur. We show that by integrating models of physical space and shape space we can analyze immune repertoire evolution and distribution over various time periods ranging from a few days up to three years.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • John Burns
    • 1
  • Heather J. Ruskin
    • 1
  1. 1.Dublin City UniversityDublin 9Ireland

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