PathSim visualizer: an Information-Rich Virtual Environment framework for systems biology
Proceedings of the ninth international conference on 3D Web technology
Multi-agent modeling of the immune system: The situated cellular agents approach
Multiagent and Grid Systems - Multi-agent systems for medicine, computational biology, and bioinformatics
HYBRID SIMULATION ALGORITHMS FOR AN AGENT-BASED MODEL OF THE IMMUNE RESPONSE
Cybernetics and Systems - BEST OF AGENT-BASED MODELING AND SIMULATION 2008
The swarming body: simulating the decentralized defenses of immunity
ICARIS'06 Proceedings of the 5th international conference on Artificial Immune Systems
Modelling the immune system with situated agents
WIRN'05 Proceedings of the 16th Italian conference on Neural Nets
Fuzzy continuous petri net-based approach for modeling immune systems
WIRN'05 Proceedings of the 16th Italian conference on Neural Nets
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This paper describes the basic structure and the developments of IMMSIM, a modified cellular automaton to simulate chance encounters and discrete effects of cell-cell and cell-molecule interactions in the lymphoid system. Thanks to its flexibility, this model has proven a useful tool in theoretical immunology, experimental research and educational applications. Of the various versions available, we show here the most advanced one (IMMSIM3), that incorporates both humoral and cellular responses. We describe the results obtained by simulating the responses to viral infection, the impact of viral behavior on the quality of response needed to reach a cure, the cooperation/competition relation between cellular and humoral branches and the effect of vaccination.