Abstract
In this work we had developed an alternative model framework to study the concept of immunological memory by proposing as a simplified model for the interaction dynamics between a population of pathogens and the immunological system. The model is based on a probabilistic cellular automata which allows relatively easy inclusion of some of the real immunological systems in a transparently biological manner. The resulting virtual laboratory is called Microscopic Cellular Automata Simulator (MicroCASim), a software whose basic idea is to create a tool to assist the visualization of the interaction dynamics of these entities in silico.
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Furlan, L.B., Gagliardi, H.F., da Silva, F.A.B., Pisa, I.T., Alves, D. (2006). MicroCASim: An Automata Network Simulator Applied to the Competition Between Microparasites and Host Immune Response. In: Alexandrov, V.N., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds) Computational Science – ICCS 2006. ICCS 2006. Lecture Notes in Computer Science, vol 3991. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11758501_159
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DOI: https://doi.org/10.1007/11758501_159
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