Mathematical Immunology.

The aim of mathematical immunology is to aid understanding of the complexities of the immune system through mathematical modelling. Control and regulation is fundamental to the proper functioning of the imune systems, ie delivering an appropriate response to a stimulous. Much of the research in the mathematical immunology group in this area involves an analysis of mechanisms of control, selection and activation, often extrapolating between scales, i.e. molecular to cellular, or cellular to repertoire; simulating and predicting effects of mechanisms at the lower level on the upper. We work hard at the following research projects -

People involved: Burroughs, van den Berg, Rand.
Related grant: Modelling stochastic activation of T cells, EPSRC.

FIGURE.

Simulation of a T cell APC contact interface: MHC green, ICAM1 red.

Segregation through free energy minimisation occurs within a minute.

Membrane adjusts locally to optimise binding of short and long bonds. Domains do not coalesce without another mechanism, eg cytoskeletal transport.

People involved: Burroughs.


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