A dynamical model for the immune repertoire
M.c Lagreca,
R.M.c de Almeida and
R.M.Zorzenon dos Santos
Physica A: Statistical Mechanics and its Applications, 2001, vol. 289, issue 1, 191-207
Abstract:
In this paper we use exact numeration techniques and multispin coding to study the dynamics of a bit-string model proposed to describe the time evolution of B-cell repertoire. Each clone of B-cells and antibodies is characterized by its molecular receptor, associated to a bit-string, and the model dynamics simulates the evolution of interacting populations. We take into account the effects of cell death, caused by different mechanisms, and cell production, both due to bone marrow action and to clone proliferation caused by interaction between complementary forms. We also simulate antigen presentations and our results indicate that after primary response specific populations may be sustained at high levels, keeping the memory about the exposition; and subsequent presentations of the same antigen arouse faster responses. Furthermore, the aroused populations form isolated clusters in shape (bit-string) space, and, provided that the number of memorized antigens is not too high, presentations of other uncorrelated antigens do not disturb the memory of previous antigen presentations. We have estimated the memory capacity of the system by periodically presenting randomly chosen antigens. We found that, in certain regions of the parameter space, the system is able to respond to all antigens, keeping information only about a constant number of recently presented antigens. The number of simultaneously memorized antigens is used to define the capacity of the network.
Keywords: Immune system; Coupled map lattices; Bit-string model (search for similar items in EconPapers)
Date: 2001
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437100004994
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:289:y:2001:i:1:p:191-207
DOI: 10.1016/S0378-4371(00)00499-4
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().