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...
| الحاوية / القاعدة: | Mathematical Biosciences and Engineering |
|---|---|
| المؤلفون الرئيسيون: | , , |
| التنسيق: | مقال |
| اللغة: | الإنجليزية |
| منشور في: |
AIMS Press
2012-09-01
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://www.aimspress.com/article/doi/10.3934/mbe.2012.9.937 |
| _version_ | 1849523385162268672 |
|---|---|
| author | Yu Wu Xiaopeng Zhao Mingjun Zhang |
| author_facet | Yu Wu Xiaopeng Zhao Mingjun Zhang |
| author_sort | Yu Wu |
| collection | DOAJ |
| container_title | Mathematical Biosciences and Engineering |
| 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 |
| id | doaj-art-e287c724f21e4062b4b0fb965bb61d73 |
| institution | Directory of Open Access Journals |
| issn | 1551-0018 |
| language | English |
| publishDate | 2012-09-01 |
| publisher | AIMS Press |
| record_format | Article |
| spelling | doaj-art-e287c724f21e4062b4b0fb965bb61d732025-08-20T02:51:56ZengAIMS 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 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 |