Systems mapping of HIV-1 infection

Wei Hou, Yihan Sui, Zhong Wang, Yaqun Wang, Ningtao Wang, Jingyuan Liu, Yao Li, Maureen Goodenow, Li Yin, Zuoheng Wang, Rongling Wu

Research output: Contribution to journalLetter

2 Citations (Scopus)

Abstract

Mathematical models of viral dynamics in vivo 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.

Original languageEnglish (US)
Article number91
JournalBMC Genetics
Volume13
DOIs
StatePublished - Oct 23 2012

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HIV Infections
HIV-1
Theoretical Models
Viral Drug Resistance
Viruses
Population Dynamics
Virus Diseases
Antiviral Agents
Therapeutics
Pharmaceutical Preparations

All Science Journal Classification (ASJC) codes

  • Genetics
  • Genetics(clinical)

Cite this

Hou, W., Sui, Y., Wang, Z., Wang, Y., Wang, N., Liu, J., ... Wu, R. (2012). Systems mapping of HIV-1 infection. BMC Genetics, 13, [91]. https://doi.org/10.1186/1471-2156-13-91
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. In: BMC Genetics. 2012 ; Vol. 13.
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Hou, W, Sui, Y, Wang, Z, Wang, Y, Wang, N, Liu, J, Li, Y, Goodenow, M, Yin, L, Wang, Z & Wu, R 2012, 'Systems mapping of HIV-1 infection', BMC Genetics, vol. 13, 91. https://doi.org/10.1186/1471-2156-13-91

Systems mapping of HIV-1 infection. / Hou, Wei; Sui, Yihan; Wang, Zhong; Wang, Yaqun; Wang, Ningtao; Liu, Jingyuan; Li, Yao; Goodenow, Maureen; Yin, Li; Wang, Zuoheng; Wu, Rongling.

In: BMC Genetics, Vol. 13, 91, 23.10.2012.

Research output: Contribution to journalLetter

TY - JOUR

T1 - Systems mapping of HIV-1 infection

AU - Hou, Wei

AU - Sui, Yihan

AU - Wang, Zhong

AU - Wang, Yaqun

AU - Wang, Ningtao

AU - Liu, Jingyuan

AU - Li, Yao

AU - Goodenow, Maureen

AU - Yin, Li

AU - Wang, Zuoheng

AU - Wu, Rongling

PY - 2012/10/23

Y1 - 2012/10/23

N2 - Mathematical models of viral dynamics in vivo 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.

AB - Mathematical models of viral dynamics in vivo 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.

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Hou W, Sui Y, Wang Z, Wang Y, Wang N, Liu J et al. Systems mapping of HIV-1 infection. BMC Genetics. 2012 Oct 23;13. 91. https://doi.org/10.1186/1471-2156-13-91