1999/03/28 by M. Meier-Schellersheim, Meier-Schellersheim, M., G. Mack +1
Biochemistry, Genetics and Molecular Biology · Computer Science · #FOS: Biological sciences #FOS: Computer and information sciences #I.6.3 #I.6.4 #I.6.5 #Multiagent Systems (cs.MA) #Quantitative Biology (q-bio) #cs.MA #q-bio
paper · pdf · doi:10.48550/arxiv.cs/9903017
23 pages, 10 figures
arxiv created 1999/03/28 · arxiv updated 2009/11/30
We present a new approach to the simulation and analysis of immune system behavior. The simulations that can be done with our software package called SIMMUNE are based on immunological data that describe the behavior of immune system agents (cells, molecules) on a microscopial (i.e. agent-agent interaction) scale by defining cellular stimulus-response mechanisms. Since the behavior of the agents in SIMMUNE can be very flexibly configured, its application is not limited to immune system simulations. We outline the principles of SIMMUNE's multiscale analysis of emergent structure within the simulated immune system that allow the identification of immunological contexts using minimal a priori assumptions about the higher level organization of the immune system.