Self tolerance in a minimal model of the idiotypic network
Robert Schulz, Benjamin Werner, Ulrich Behn

TL;DR
This paper models self tolerance in the idiotypic network using a minimalistic approach, showing how the network self-organizes to prevent immune response to self while maintaining overall functionality.
Contribution
It introduces a minimal model of the idiotypic network with self nodes, demonstrating how self tolerance emerges through network organization and validated by simulations and mean field theory.
Findings
Self nodes are weakly occupied, ensuring self tolerance.
Network architecture remains similar with self nodes, preserving overall structure.
Simulation and mean field results are in good agreement.
Abstract
We consider the problem of self tolerance in the frame of a minimalistic model of the idiotypic network. A node of this network represents a population of B lymphocytes of the same idiotype which is encoded by a bit string. The links of the network connect nodes with (nearly) complementary strings. The population of a node survives if the number of occupied neighbours is not too small and not too large. There is an influx of lymphocytes with random idiotype from the bone marrow. Previous investigations have shown that this system evolves toward highly organized architectures, where the nodes can be classified into groups according to their statistical properties. The building principles of these architectures can be analytically described and the statistical results of simulations agree very well with results of a modular mean field theory. In this paper we present simulation results…
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Taxonomy
TopicsMental Health Research Topics · Mathematical Biology Tumor Growth · Evolution and Genetic Dynamics
