ID: cond-mat/9501046

An introduction to the immune network

January 12, 1995

View on ArXiv
Giorgio Parisi
Condensed Matter
High Energy Physics - Theory
Quantitative Biology
Cell Behavior

In this paper, after a telegraphic introduction to modern immunology, we present a simple model for the idiotypic network among antibodies and we study its relevance for the maintenance of immunological memory. We also consider the problem of computing the memory capacity of such a model.

Similar papers 1

A graph model for the evolution of specificity in humoral immunity

October 23, 2003

89% Match
L. E. Flores, E. J. Aguilar, ... , de Carvalho L. A. V.
Cell Behavior

The immune system protects the body against health-threatening entities, known as antigens, through very complex interactions involving the antigens and the system's own entities. One remarkable feature resulting from such interactions is the immune system's ability to improve its capability to fight antigens commonly found in the individual's environment. This adaptation process is called the evolution of specificity. In this paper, we introduce a new mathematical model for ...

Find SimilarView on arXiv

Immune Network: An Example of Complex Adaptive Systems

March 3, 1998

88% Match
Debashish Chowdhury
Statistical Mechanics

The phenomenon of immunological memory has been known for a long time. But, the underlying mechanism is poorly understood. According to the theory of clonal selection the response to a specific invading antigen (e.g., bacteria) is offered by a specific clone of the cells. Some of the lymphocytes activated during the primary response remain dormant and keep circulating in the immune system for a long time carrying the memory of the encounter and, therefore, these long-lived ce...

Find SimilarView on arXiv

A statistical mechanics approach to autopoietic immune networks

January 21, 2010

88% Match
Adriano Barra, Elena Agliari
Disordered Systems and Neura...
Statistical Mechanics
Cell Behavior

The aim of this work is to try to bridge over theoretical immunology and disordered statistical mechanics. Our long term hope is to contribute to the development of a quantitative theoretical immunology from which practical applications may stem. In order to make theoretical immunology appealing to the statistical physicist audience we are going to work out a research article which, from one side, may hopefully act as a benchmark for future improvements and developments, from...

Find SimilarView on arXiv

Analysis of immune network dynamical system model with small number of degrees of freedom

February 21, 2000

87% Match
Satoko Itaya, Tatsuya Uezu
Chaotic Dynamics

We numerically study a dynamical system model of an idiotypic immune network with a small number of degrees of freedom. The model was originally introduced by Varela et.al., and describes antibodies interacting in a body in order to prepare for the invasion of external antigens. The main purpose of this paper is to investigate the direction of change in the network system when antigens invade it. We investigate three models, original model, a modified model and a modified m...

Find SimilarView on arXiv

A dynamical modeling to study the adaptive immune system and the influence of antibodies in the immune memory

May 19, 2017

87% Match
Castro Alexandre de, Carlos Frederico Fronza, Domingos Alves
Cell Behavior

Immunological systems have been an abundant inspiration to contemporary computer scientists. Problem solving strategies, stemming from known immune system phenomena, have been successfully applied to challenging problems of modern computing (MONROY, SAAB, GODINEZ, 2004). Simulation systems and mathematical modeling are also beginning use to answer more complex immunological questions as immune memory process and duration of vaccines, where the regulation mechanisms are not st...

Find SimilarView on arXiv
Elena Agliari, Alessia Annibale, Adriano Barra, ... , Tantari Daniele
Disordered Systems and Neura...
Cell Behavior

Associative network models featuring multi-tasking properties have been introduced recently and studied in the low load regime, where the number $P$ of simultaneously retrievable patterns scales with the number $N$ of nodes as $P\sim \log N$. In addition to their relevance in artificial intelligence, these models are increasingly important in immunology, where stored patterns represent strategies to fight pathogens and nodes represent lymphocyte clones. They allow us to under...

A network model for clonal differentiation and immune memory

July 11, 2017

87% Match
Castro Alexandre de
Populations and Evolution

A model of bit-strings, that uses the technique of multi-spin coding, was previously used to study the time evolution of B-cell clone repertoire, in a paper by Lagreca, Almeida and Santos. In this work we extend that simplified model to include independently the role of the populations of antibodies, in the control of the immune response, producing mechanisms of differentiation and regulation in a more complete way. Although the antibodies have the same molecular shape of the...

Find SimilarView on arXiv

Self-tolerance and autoimmunity in a minimal model of the idiotypic network

September 19, 2016

87% Match
Stefan Landmann, Nicolas Preuss, Ulrich Behn
Cell Behavior

We consider self-tolerance and its failure -autoimmunity- in a minimal mathematical model of the idiotypic network. A node in the network represents a clone of B-lymphocytes and its antibodies of the same idiotype which is encoded by a bitstring. The links between nodes represent possible interactions between clones of almost complementary idiotype. A clone survives only if the number of populated neighbored nodes is neither too small nor too large. The dynamics is driven by ...

Find SimilarView on arXiv

Immunization and Aging: a Learning Process in the Immune Network

September 24, 1998

87% Match
Rita Maria Zorzenon dos UFF, Niteroi-RJ, Brazil Santos, Americo T. UFOP, Ouro Preto-MG, Brazil Bernardes
Statistical Mechanics

The immune system can be thought as a complex network of different interacting elements. A cellular automaton, defined in shape-space, was recently shown to exhibit self-regulation and complex behavior and is, therefore, a good candidate to model the immune system. Using this model to simulate a real immune system we find good agreement with recent experiments on mice. The model exhibits the experimentally observed refractory behavior of the immune system under multiple antig...

Find SimilarView on arXiv

Modelling Immunological Memory

April 21, 2010

86% Match
Simon Garret, Martin Robbins, Joanne Walker, ... , Aickelin Uwe
Artificial Intelligence
Neural and Evolutionary Comp...
Cell Behavior

Accurate immunological models offer the possibility of performing highthroughput experiments in silico that can predict, or at least suggest, in vivo phenomena. In this chapter, we compare various models of immunological memory. We first validate an experimental immunological simulator, developed by the authors, by simulating several theories of immunological memory with known results. We then use the same system to evaluate the predicted effects of a theory of immunological ...

Find SimilarView on arXiv