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Mathematical Biosciences and Engineering
Article . 2012 . Peer-reviewed
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Mathematical Biosciences and Engineering
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Article . 2012
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Dynamics of stochastic mutation to immunodominance

Authors: Yu Wu; Xiaopeng Zhao; Mingjun Zhang;

Dynamics of stochastic mutation to immunodominance

Abstract

Although a virus contains several epitopes that can be recognized by cytotoxic T lymphocytes (CTL), the immune responses against different epitopes are not uniform. Only a few CTLs (sometimes just one) will be immunodominant. Mutation of epitopes has been recognized as an important mechanism of immunodominance. Previous research has studied the influences of sporadic, discrete mutation events. In this work, we introduce a bounded noise term to account for the intrinsic stochastic nature of mutation. Monte Carlo simulations of the stochastic model show abounding complex phenomena, and patterns observed from the numerical simulations shed lights on long term trends of immunodomnance.

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Keywords

Monte Carlo simulations, Problems related to evolution, Medical applications (general), monte carlo simulation., QA1-939, Animals, Humans, Medical epidemiology, Stochastic Processes, immunodominance, Models, Statistical, Models, Genetic, Immunodominant Epitopes, stochastic dynamics, Models, Immunological, Monte Carlo methods, Mutation, mutation, TP248.13-248.65, Mathematics, Biotechnology, T-Lymphocytes, Cytotoxic, Virus Physiological Phenomena

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold