Correlations in the T-cell response to altered peptide ligands

Jeong-Man Park and Michael W. Deem

Physica A: Statistical Mechanics and its Applications, 2004, vol. 341, issue C, 455-470

Abstract: The vertebrate immune system is a wonder of modern evolution. Occasionally, however, correlations within the immune system lead to inappropriate recruitment of pre-existing T-cells against novel viral diseases. We present a random energy theory for the correlations in the naive and memory T-cell immune responses. The nonlinear susceptibility of the random energy model to structural changes captures the correlations in the immune response to mutated antigens. We show how the sequence-level diversity of the T-cell repertoire drives the dynamics of the immune response against mutated viral antigens.

Keywords: Random energy model; Immune system; Altered peptide ligands (search for similar items in EconPapers)
Date: 2004
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437104005539
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:341:y:2004:i:c:p:455-470

DOI: 10.1016/j.physa.2004.04.127

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 ().