Systems Mapping of HIV-1 Infection

Overview

Journal BMC Genet

Publisher Biomed Central

Specialties Biotechnology
Molecular Biology

Date 2012 Oct 25

PMID 23092371

Citations 1

Authors

Wei Hou

Yihan Sui

Zhong Wang

Yaqun Wang

Ningtao Wang

Jingyuan Liu

Yao Li

Maureen Goodenow

Li Yin

Zuoheng Wang

Rongling Wu

Affiliations

Soon will be listed here.

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.

Citing Articles

Stochastic modeling of systems mapping in pharmacogenomics.

Wang Z, Luo J, Fu G, Wang Z, Wu R Adv Drug Deliv Rev. 2013; 65(7):912-7.

PMID: 23528445 PMC: 4249941. DOI: 10.1016/j.addr.2013.03.004.

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