TY - JOUR 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 DA - 2012/10/23 TI - Systems mapping of HIV-1 infection JO - BMC Genetics SP - 91 VL - 13 IS - 1 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. SN - 1471-2156 UR - https://doi.org/10.1186/1471-2156-13-91 DO - 10.1186/1471-2156-13-91 ID - Hou2012 ER -