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Dynamics and topology of idiotypic networks

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Abstract

Jerne's idiotypic network was previously modelled using simple proliferation dynamics and a homogeneous tree as a connection structure. The present paper studies analytically and numerically the genericity of the previous results when the network connection structure is randomized, e.g. with loops and varying connection intensities. The main feature of the dynamics is the existence of different localized attractors that can be interpreted in terms of vaccination and tolerance. This feature is preserved when loops are added to the network, with a few exceptions concerning some regular lattices. Localized attractors might be destroyed by the introduction of a continuous distribution of connection intensities. We conclude by discussing possible modifications of the elementary model that preserve localization of the attractors and functionality of the network.

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Literature

  • Atlan, H. and I. R. Cohen (Eds). 1989.Theories of Immune Networks. Berlin: Springer.

    Google Scholar 

  • Conway, J. 1982. Game of life. InWinning Ways, E. Berkelamp, J. Conway and R. Guy (Eds), Ch. 25. New York: Academic Press.

    Google Scholar 

  • De Boer, R. J. 1983.GRIND: great integrator differential equations. Bioinformatics Group, University of Utrecht, The Netherlands.

    Google Scholar 

  • De Boer, R. J. 1989. Extensive percolation in reasonable idiotypie networks. InTheories of Immune Networks, H. Atlan and I. R. Cohen (Eds), pp. 26–37. Berlin: Springer.

    Google Scholar 

  • De Boer, R. J. and P. Hogeweg. 1989a. Memony but no suppression in low-dimensional symmetric idiotypic networks.Bull. math. Biol. 51, 223–246.

    Article  MATH  Google Scholar 

  • De Boer, R. J. and P. Hogeweg. 1989b. Unreasonable implications of reasonable idiotypic network assumptions.Bull. math. Biol. 51, 381–408.

    Article  MATH  Google Scholar 

  • De Boer, R. J. and A. S. Perelson. 1991. Size and connectivity as emergent properties of a developing immune network.J. theor. Biol. 149, 381–424.

    Google Scholar 

  • De Boer, R. J., I. G. Kevrekidis and A. S. Perelson. 1991. A simple idiotypic network model with complex dynamics.Chem. Engng Sci. 45, 2375–2382.

    Article  Google Scholar 

  • Farmer, J., N. H. Packard and A. S. Perelson. 1986. The immune system, adaptation and machine learning.Physica D 22, 187–204.

    Article  MathSciNet  Google Scholar 

  • Holmberg, D., S. Forsgen, F. Ivars and A. Coutinho. 1984. Reactions among IgM antibodies derived from normal neonatal mice.Eur. J. Immunol. 14, 435–441.

    Google Scholar 

  • Holmberg, D., G. Wennerstrom, L. Andrade and A. Coutinho. 1986. The high idiotypic connectivity of “natural” newborn antibodies is not found in the adult mitogen-reactive B cell repertoires.Eur. J. Immunol. 16, 82–87.

    Google Scholar 

  • Jerne, N. 1974. Towards a network theory of the immune system.Annls Immunol. (Inst. Pasteur) 125C, 373–389.

    Google Scholar 

  • Kearney, J., M. Vakil and N. Nicholson. 1987 Non-random VH gene expression and idiotype anti-idiotype expression in early B-cells. InEvolution and Vertebrate Immunity: The Antigen Receptor and MHC Gene Families, G. Kelsoe and D. Schulze (Eds), pp. 175–190. Austin: Texas University Press.

    Google Scholar 

  • Kocks, C. and K. Rajewsky. 1989. Stable expression and somatic hypermutation of antibody V regions in B cells developmental pathways.Ann. Rev. Immunol. 7, 537–559.

    Article  Google Scholar 

  • Neumann, A. U. 1991. Dynamical phase transitions in spin models and network models of the immune response, Ph.D. thesis, Bar-Ilan University, Ramat-Gan, Israel.

    Google Scholar 

  • Neumann, A. U. and G. Weisbuch. 1992. Window automata analysis of population dynamics in the immune system.Bull. math. Biol. 54, 21–44.

    MATH  Google Scholar 

  • Perelson, A. S. (Ed.). 1988.Theoretical Immunology. Santa-Fe Institute Studies in the Sciences of Complexity. Redwood City, CA: Addison-Wesley.

    Google Scholar 

  • Perelson, A. S. and G. Weisbuch. 1992. Modeling immune reactivity in secondary lymphoid organs.Bull. math. Biol. 54, 649–672.

    Article  MATH  Google Scholar 

  • Segel, L. A. and A. S. Perelson. 1988. Computation in shape space: a new approach to immune network theory. InTheoretical Immunology, A. S. Perelson (Ed.) Santa-Fe Institute Studies in the Sciences of Complexity, pp. 321–343. Redwood City, CA: Addison-Wesley.

    Google Scholar 

  • Segel, L. A. and A. S. Perelson. 1991. Exploiting the diversity of time scales in the immune system: A B cell antibody model.J. statist. Phys. 63, 1113–1131.

    Article  Google Scholar 

  • Stewart, J. and F. Varela. 1989. Exploring the meaning of connectivity in the immune network.Immunol. Rev. 110, 37–61.

    Article  Google Scholar 

  • Varela, F., A. Coutinho, B. Dupire and N. Vaz. 1988. Cognitive networks: immune, neural, and otherwise. InTheoretical Immunology, A. Perelson (Ed.), Santa-Fe Institute Studies in the Sciences of Complexity pp. 359–375. Redwood City, CA: Addison-Wesley.

    Google Scholar 

  • Weisbuch, G., R. J. De Boer and A. S. Perelson., 1990. Localized memories in idiotypic networks.J. theor. Biol. 146, 483–499.

    Google Scholar 

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Neumann, A.U., Weisbuch, G. Dynamics and topology of idiotypic networks. Bltn Mathcal Biology 54, 699–726 (1992). https://doi.org/10.1007/BF02459926

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  • DOI: https://doi.org/10.1007/BF02459926

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