TY - JOUR
T1 - How T-cells use large deviations to recognize foreign antigens
AU - Baake, E.
AU - Hollander, den, W.Th.F.
AU - Zint, N.
PY - 2008
Y1 - 2008
N2 - 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 et al. (J Theor Biol 209:465–486, 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.
AB - 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 et al. (J Theor Biol 209:465–486, 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.
U2 - 10.1007/s00285-008-0191-1
DO - 10.1007/s00285-008-0191-1
M3 - Article
C2 - 18560834
SN - 0303-6812
VL - 57
SP - 841
EP - 861
JO - Journal of Mathematical Biology
JF - Journal of Mathematical Biology
IS - 6
ER -