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Journal ArticleDOI

Monte Carlo simulation of the shape space model of immunology

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TLDR
In this paper, the shape space model of de Boer, Segel and Perelson for the immune system is studied with a probabilistic updating rule by Monte Carlo simulation, and a suitable mathematical form is chosen for the probability of increase of B-cell concentration depending on the concentration around the mirror image site.
Abstract
The shape space model of de Boer, Segel and Perelson for the immune system is studied with a probabilistic updating rule by Monte Carlo simulation. A suitable mathematical form is chosen for the probability of increase of B-cell concentration depending on the concentration around the mirror image site. The results obtained agree reasonably with the results obtained by deterministic cellular automata.

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Citations
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Journal ArticleDOI

The Role of Computational Models of the Immune System in Designing Vaccination Strategies

TL;DR: The role of mathematical/computational models of the immune system are described and some examples of how mathematical modeling can contribute to finding optimal vaccination strategies are analyzed.
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Computer simulation of immunological cellular automata: The Tsallis model

TL;DR: A modification of the model of de Boer, van der Laan, and Hogeweg is discussed where a condition favorable to the growth of antibody cells lets not only that cell type grow, but with equal probability also one of its neighbors in immunological shape space.
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A local-field-type model for immunological systems: time evolution in real and shape spaces

TL;DR: In this paper, a new model for the interaction of immunological cells that takes into account their location in real space is introduced, where each one of the model cells mimics the real B cells in the sense that they detect antigens and they are also capable of reproducing themselves.
Journal ArticleDOI

Self-reorganizations in a simple model of the immune system

TL;DR: In this article, a simple 2D shape space model of the immune system is presented, where a network of clones is perturbed by long-lived molecules whose presence triggers the disappearance (avalanche) of existing clones.

The 'shape-space' and 'affinity landscape' immunological paradigms

TL;DR: This work reviews the inception and early application of the 'shape-space' formalism and fitness-inspired affinity landscape in theoretical immunology and reviews a framework that unifies both ideas for use investigating artificial immune systems with regard to general application not limited to pattern recognition.
References
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Journal ArticleDOI

Pattern formation in one- and two-dimensional shape-space models of the immune system

TL;DR: A large-scale model of the immune network is analyzed, using the shape-space formalism, and how the repertoire organizes itself into large clusters of clones having similar behavior is described.
Journal ArticleDOI

High-dimensional simulation of the shape-space model for the immune system

TL;DR: This work simulates a d-dimensional hypercubic lattice with dimension d up to 10 and checks for the concentration of B cells and the stability against localized perturbations (“damage spreading”).
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