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Non-deterministic Explanation of Immune Responses: A Computer Model

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5666))

Abstract

Classically, immune responses are considered to be antigen-driven, implying a direct or indirect pattern recognition. This deterministic, instructionalist view of the immune system relies on molecular recognition; hence, the occurrence of immune responses depends exclusively on the differentiation between “Self” and “Non-Self” molecules[1,2]. A different approach is to consider immune responses as the emergent phenomena of a complex dynamic system as it is understood in System Biology[3]. Here, I present a computer simulation in NetLogo4.0.3[4] based on a theory that considers the emergence of inflammation as the defining phenomena of an immune response. Whereas the theory recognizes that microscopic events such as molecular recognition are part of the dynamics of the system, it maintains that immune phenomena cannot be understood from the study of individual events alone. The theoretical basis for this work is described elsewhere [5].

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References

  1. Klein, J., Sato, A.: The HLA system. First of two parts. N. Engl. J. Med. 343, 702–709 (2000)

    Article  Google Scholar 

  2. Klein, J., Sato, A.: The HLA system. Second of two parts. N. Engl. J. Med. 343, 782–786 (2000)

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  3. Kitano, H.: Systems Biology: Toward System-level Understanding of Biological Systems. In: Kitano, H. (ed.) Fundations of System Biology, pp. 1–36. MIT Press, Cambridge (2001)

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  4. Wilensky, U.: NetLogo. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL (1999), http://ccl.northwestern.edu/netlogo/

  5. Salazar-Bañuelos, A.: Immune Responses: A Stochastic Model. In: Bentley, P.J., Lee, D., Jung, S. (eds.) ICARIS 2008. LNCS, vol. 5132, pp. 24–35. Springer, Heidelberg (2008)

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  6. Vaz, N.M., Varela, F.J.: Self and non-sense: an organism-centered approach to immunology. Med. Hypotheses 4, 231–267 (1978)

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  7. von Boehmer, H., Teh, H.S., Kisielow, P.: The thymus selects the useful, neglects the useless and destroys the harmful. Immunol. Today 10, 57–61 (1989)

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© 2009 Springer-Verlag Berlin Heidelberg

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Salazar-Bañuelos, A. (2009). Non-deterministic Explanation of Immune Responses: A Computer Model. In: Andrews, P.S., et al. Artificial Immune Systems. ICARIS 2009. Lecture Notes in Computer Science, vol 5666. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03246-2_3

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  • DOI: https://doi.org/10.1007/978-3-642-03246-2_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03245-5

  • Online ISBN: 978-3-642-03246-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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