A Simulation for Flavivirus Infection Decoy Responses


In this work, we discuss the development of simulation code for a model of the cross-reactive adaptive immune response seen in flavivirus infections. The model specifically addresses flavivirus pathogen virulence in G0 vs Gcell states. The MHC-I upregulation of resting cells (G0 state) allows the T-cells generated for flavivirus peptide antigens to attack healthy cells also. The cells in Gstate are not upregulated as much and so virus hides in them and hence is propagated upon rupture. Hence, this type of model is referred to as a decoy model because the immune system is decoyed into preferentially recognizing the upregulated cells while the virus actively propagates in another small, but important, cell population. We show that the generic assumption of upregulation via a model which includes the G0/Gdifferential upregulation leads to immunopathological consequences. We outline the details behind the simulation code decisions and provide some theoretical justification for our model of collateral damage and upregulation.

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Peterson, J. , Kesson, A. and King, N. (2015) A Simulation for Flavivirus Infection Decoy Responses. Advances in Microbiology, 5, 123-142. doi: 10.4236/aim.2015.52013.

Conflicts of Interest

The authors declare no conflicts of interest.


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