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 journalLetterpeer-review

2 Scopus citations

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

All Science Journal Classification (ASJC) codes

  • Genetics
  • Genetics(clinical)

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