Systems mapping of HIV-1 infection
<p>Abstract</p> <p>Mathematical models of viral dynamics <it>in vivo</it> provide incredible insights into the mechanisms for the nonlinear interaction between virus and host cell populations, the dynamics of viral drug resistance, and the way to eliminate virus infecti...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2012-10-01
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| Series: | BMC Genetics |
| Online Access: | http://www.biomedcentral.com/1471-2156/13/91 |
| _version_ | 1818247260671049728 |
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| author | Hou Wei Sui Yihan Wang Zhong Wang Yaqun Wang Ningtao Liu Jingyuan Li Yao Goodenow Maureen Yin Li Wang Zuoheng Wu Rongling |
| author_facet | Hou Wei Sui Yihan Wang Zhong Wang Yaqun Wang Ningtao Liu Jingyuan Li Yao Goodenow Maureen Yin Li Wang Zuoheng Wu Rongling |
| author_sort | Hou Wei |
| collection | DOAJ |
| description | <p>Abstract</p> <p>Mathematical models of viral dynamics <it>in vivo</it> provide incredible insights into the mechanisms for the nonlinear interaction between virus and host cell populations, the dynamics of viral drug resistance, and the way to eliminate virus infection from individual patients by drug treatment. The integration of these mathematical models with high-throughput genetic and genomic data within a statistical framework will raise a hope for effective treatment of infections with HIV virus through developing potent antiviral drugs based on individual patients’ genetic makeup. In this opinion article, we will show a conceptual model for mapping and dictating a comprehensive picture of genetic control mechanisms for viral dynamics through incorporating a group of differential equations that quantify the emergent properties of a system.</p> |
| first_indexed | 2024-12-12T15:01:53Z |
| format | Article |
| id | doaj.art-34150e7038bc42029d711e117f227a72 |
| institution | Directory Open Access Journal |
| issn | 1471-2156 |
| language | English |
| last_indexed | 2024-12-12T15:01:53Z |
| publishDate | 2012-10-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Genetics |
| spelling | doaj.art-34150e7038bc42029d711e117f227a722022-12-22T00:20:47ZengBMCBMC Genetics1471-21562012-10-011319110.1186/1471-2156-13-91Systems mapping of HIV-1 infectionHou WeiSui YihanWang ZhongWang YaqunWang NingtaoLiu JingyuanLi YaoGoodenow MaureenYin LiWang ZuohengWu Rongling<p>Abstract</p> <p>Mathematical models of viral dynamics <it>in vivo</it> provide incredible insights into the mechanisms for the nonlinear interaction between virus and host cell populations, the dynamics of viral drug resistance, and the way to eliminate virus infection from individual patients by drug treatment. The integration of these mathematical models with high-throughput genetic and genomic data within a statistical framework will raise a hope for effective treatment of infections with HIV virus through developing potent antiviral drugs based on individual patients’ genetic makeup. In this opinion article, we will show a conceptual model for mapping and dictating a comprehensive picture of genetic control mechanisms for viral dynamics through incorporating a group of differential equations that quantify the emergent properties of a system.</p>http://www.biomedcentral.com/1471-2156/13/91 |
| spellingShingle | Hou Wei Sui Yihan Wang Zhong Wang Yaqun Wang Ningtao Liu Jingyuan Li Yao Goodenow Maureen Yin Li Wang Zuoheng Wu Rongling Systems mapping of HIV-1 infection BMC Genetics |
| title | Systems mapping of HIV-1 infection |
| title_full | Systems mapping of HIV-1 infection |
| title_fullStr | Systems mapping of HIV-1 infection |
| title_full_unstemmed | Systems mapping of HIV-1 infection |
| title_short | Systems mapping of HIV-1 infection |
| title_sort | systems mapping of hiv 1 infection |
| url | http://www.biomedcentral.com/1471-2156/13/91 |
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