dorsal/arxiv
View SchemaHow T-cells use large deviations to recognize foreign antigens
| Authors | Natali Zint, Ellen Baake, Frank den Hollander |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0605016 |
| URL | https://arxiv.org/abs/q-bio/0605016 |
| Journal | J. Math. Biol. 57 (2008), 841-861 |
Abstract
A stochastic model for the activation of T-cells is analysed. T-cells are part of the immune system and recognize foreign antigens against a background of the body's own molecules. The model under consideration is a slight generalization of a model introduced by Van den Berg, Rand and Burroughs in 2001, and is capable of explaining how this recognition works on the basis of rare stochastic events. With the help of a refined large deviation theorem and numerical evaluation it is shown that, for a wide range of parameters, T-cells can distinguish reliably between foreign antigens and self-antigens.
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"abstract": "A stochastic model for the activation of T-cells is analysed. T-cells are\npart of the immune system and recognize foreign antigens against a background\nof the body\u0027s own molecules. The model under consideration is a slight\ngeneralization of a model introduced by Van den Berg, Rand and Burroughs in\n2001, and is capable of explaining how this recognition works on the basis of\nrare stochastic events. With the help of a refined large deviation theorem and\nnumerical evaluation it is shown that, for a wide range of parameters, T-cells\ncan distinguish reliably between foreign antigens and self-antigens.",
"arxiv_id": "q-bio/0605016",
"authors": [
"Natali Zint",
"Ellen Baake",
"Frank den Hollander"
],
"categories": [
"q-bio.SC",
"math.PR",
"q-bio.MN"
],
"journal_ref": "J. Math. Biol. 57 (2008), 841-861",
"title": "How T-cells use large deviations to recognize foreign antigens",
"url": "https://arxiv.org/abs/q-bio/0605016"
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