Viral Strain Diversity and Immune Response - A Computational Model

J. Burns and H.J. Ruskin (Ireland)


Viral Strain Diversity, Cross-reactivity, Cellular Automata, Shape Space


We present a hybrid stochastic cellular automaton compu tational model that allows us to study both localized and generalized aspects of the immune system. We introduce a new approach to model the dynamics of viral strain diver sity, detection and clearance. We see that as strain diversity decreases, the effectiveness of infected cell removal from the lymph system declines. We build on previous work to show how critical values for T Cell Receptor affinity and cross-reactivity can also affect the course of a viral infec tion. The model presented here may offer some insight into the widely varying pathology of infectious agents across in dividuals.

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