Computing in Science and Engineering
CAFISS: a complex adaptive framework for immune system simulation
Proceedings of the 2005 ACM symposium on Applied computing
Sufficiency verification of HIV-1 pathogenesis based on multi-agent simulation
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Modeling intercellular interactions in the peripheral immune system
Modeling intercellular interactions in the peripheral immune system
Experiences creating three implementations of the repast agent modeling toolkit
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Modeling influenza viral dynamics in tissue
ICARIS'06 Proceedings of the 5th international conference on Artificial Immune Systems
Evaluating theories of immunological memory using large-scale simulations
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
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Computational models of the immune system and pathogenic agents have several applications, such as theory testing and validation, or as a complement to first stages of drug trials. One possible application is the prediction of the lethality of new Influenza A strains, which are constantly created due to antigenic drift and shift. Here, we present an agent-based model of immune-influenza A dynamics, with focus on low level molecular antigen-antibody interactions, in order to study antigenic drift and shift events, and analyze the virulence of emergent strains. At this stage of the investigation, results are presented and discussed from a qualitative point of view against recent and generally recognized immunology and influenza literature.