In this work we aim to bridge theoretical immunology and disordered statistical mechanics. We introduce a model for the behavior of B-cells which naturally merges the clonal selection theory and the autopoietic network theory as a whole. From the analysis of its features we recover several basic phenomena such as low-dose tolerance, dynamical memory of antigens and self/non-self discrimination. © 2010 IOP Publishing Ltd and SISSA.
A statistical mechanics approach to autopoietic immune networks / Barra, Adriano; Agliari, Elena. - In: JOURNAL OF STATISTICAL MECHANICS: THEORY AND EXPERIMENT. - ISSN 1742-5468. - 2010:7(2010), p. P07004. [10.1088/1742-5468/2010/07/p07004]
A statistical mechanics approach to autopoietic immune networks
BARRA, ADRIANO;AGLIARI, ELENA
2010
Abstract
In this work we aim to bridge theoretical immunology and disordered statistical mechanics. We introduce a model for the behavior of B-cells which naturally merges the clonal selection theory and the autopoietic network theory as a whole. From the analysis of its features we recover several basic phenomena such as low-dose tolerance, dynamical memory of antigens and self/non-self discrimination. © 2010 IOP Publishing Ltd and SISSA.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
