Abstract
Elsewhere [1] we put forward a network model of the immune system that explicitly incorporates cross-reactivity between clones. Receptor shape and hence reactivity was described by a single real number, x, whose value might be viewed as representing the depth of the antibody combining site or the height of a complementary idiotypic “bump”. Each clone was thus described by a unique value of a shape parameter x, and a rule was specified for determining the degree of reactivity of clone x with other clones y. A population dynamic model of interacting clones in a one-dimensional “shape space” was then developed that led to certain strategic insights concerning the operation of the immune system.
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References
Segel, L.A. and Perelson, A.S. (1988). Computations in Shape Space. A New Approach to Immune Network Theory. In Theoretical Immunology, Part Two, A.S. Perelson, ed. Addison-Wesley, Redwood City, CA, pp. 321–343.
Segel, L.A. and Perelson, A.S. (1989). Shape space analysis of immune networks. In Theoretical Models for Cell to Cell Signalling (A. Goldbeter, ed). N.Y.: Academic Press, in press.
Segel, L.A. and Perelson, A.S. (1989). A paradoxical instability caused by relatively short range inhibition. SIAM J. Appl. Math, in press.
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© 1989 Springer-Verlag Berlin, Heidelberg
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Segel, L.A., Perelson, A.S. (1989). Some Reflections on Memory in Shape Space. In: Atlan, H., Cohen, I.R. (eds) Theories of Immune Networks. Springer Series in Synergetics, vol 46. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83935-1_7
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DOI: https://doi.org/10.1007/978-3-642-83935-1_7
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