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A stochastic model of the adaptive humoral immune development – running

We have created a simulation model that intends to describe the adaptive humoral immune development. The model uses a microscopic volume and individual immune cells in it. The simulation starts a few weeks after conception and ends about one year after birth. The simulation investigates the development and operation of bone marrow cells, B cells, T helper cells, non-immune self cells, non-self cells, antibodies, and interleukins. The model includes the maturation process of B cells and the distribution of T cells as functions of time.

The aim of the project is to set about 150 parameters of the model so that, based on test runs, the model can describe real processes as best as possible. After that, we would like to perform a sequence of in silico experiments, first of all to support the novel hypothesis developed by our group for self-non-self discrimination. Using the results, we would like to explain some important immune phenomena, including unexpected, serious side-effects of a new drug against melanoma called Ipilimumab (Yervoy).

Project owner:
Dr. Szabados Tamás (Matematika Intézet)
Web address:
http://renyi.hu/~matim/
Members:
Matematika Intézet (TTK-MATH)