Mathematical Models and Immune Cell Biology

Mathematical Models and Immune Cell Biology

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Whole new areas of immunological research are emerging from the analysis of experimental data, going beyond statistics and parameter estimation into what an applied mathematician would recognise as modelling of dynamical systems. Stochastic methods are increasingly important, because stochastic models are closer to the Brownian reality of the cellular and sub-cellular world.Table 15.2 Description of parameters Parameters Description Value E, R Influx rate of new resting E and R cells from the thymus ... 105;6 KEA ;KRA Activation rate for resting E and R cells conjugated to APCs 0:69h 1; 0:09h 1 KEP ;KRP Division rate for cycling ... of IL-2 production by helper cells upon activation 45.38 h 1 Kid Degradation rate of IL-2 not conjugated to its receptor 0.138h 1 ... 15.1 Diagram of helper (E) and regulatory (R) T 15 IL-2, Helper and Regulatory CD4C T Cells 313.

Title:Mathematical Models and Immune Cell Biology
Author:Carmen Molina-París, Grant Lythe
Publisher:Springer Science & Business Media - 2011-05-05


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