Dynamics of stochastic mutation to immunodominance

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 immu...

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Main Authors: Yu Wu, Xiaopeng Zhao, Mingjun Zhang
Format: Article
Language:English
Published: AIMS Press 2012-09-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2012.9.937
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author Yu Wu
Xiaopeng Zhao
Mingjun Zhang
author_facet Yu Wu
Xiaopeng Zhao
Mingjun Zhang
author_sort Yu Wu
collection DOAJ
description 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 immunodominance.
format Article
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institution Kabale University
issn 1551-0018
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publishDate 2012-09-01
publisher AIMS Press
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series Mathematical Biosciences and Engineering
spelling doaj-art-e287c724f21e4062b4b0fb965bb61d732025-01-24T02:07:07ZengAIMS PressMathematical Biosciences and Engineering1551-00182012-09-019493795210.3934/mbe.2012.9.937Dynamics of stochastic mutation to immunodominanceYu Wu0Xiaopeng Zhao1Mingjun Zhang2Department of Mechanical, Aerospace and Biomedical Engineering, University of Tennessee, Knoxville, TN 37996Department of Mechanical, Aerospace and Biomedical Engineering, University of Tennessee, Knoxville, TN 37996Department of Mechanical, Aerospace and Biomedical Engineering, University of Tennessee, Knoxville, TN 37996Although 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 immunodominance.https://www.aimspress.com/article/doi/10.3934/mbe.2012.9.937stochastic dynamicsmutationimmunodominancemonte carlo simulation.
spellingShingle Yu Wu
Xiaopeng Zhao
Mingjun Zhang
Dynamics of stochastic mutation to immunodominance
Mathematical Biosciences and Engineering
stochastic dynamics
mutation
immunodominance
monte carlo simulation.
title Dynamics of stochastic mutation to immunodominance
title_full Dynamics of stochastic mutation to immunodominance
title_fullStr Dynamics of stochastic mutation to immunodominance
title_full_unstemmed Dynamics of stochastic mutation to immunodominance
title_short Dynamics of stochastic mutation to immunodominance
title_sort dynamics of stochastic mutation to immunodominance
topic stochastic dynamics
mutation
immunodominance
monte carlo simulation.
url https://www.aimspress.com/article/doi/10.3934/mbe.2012.9.937
work_keys_str_mv AT yuwu dynamicsofstochasticmutationtoimmunodominance
AT xiaopengzhao dynamicsofstochasticmutationtoimmunodominance
AT mingjunzhang dynamicsofstochasticmutationtoimmunodominance