SEARCH FOR WORKING MODELS OF HIV PERSISTENCE & EVOLUTION

描述：(改编自应用程序)HIV在体内感染涉及 许多不同的细胞类型(允许病毒复制的未感染细胞， 感染细胞、HIV特异性免疫细胞和其他)与每个细胞相互作用 其他的，一般来说，其数量取决于时间。这样做的目的是 应用程序是使用数学建模来帮助理解这种 系统是可以工作的。方法是：i)选择艾滋病毒/SIV的数学模型 基于每个模型的预测必须符合的标准的感染 具有代表性的HIV致病机制的所有显著实验特征 文献中现有的个体；ii)验证模型 通过寻找这些背后可能的生物机制的例子而被选中 模型；iii)为后续实验制定预测，以测试 模特们。这种“多重匹配”的策略已经成功地应用于 用于处理未知结构的复杂系统的物理科学，但 对艾滋病毒研究来说是新奇的。调查人员将把这一策略应用于 以下两个方向：1)阐明T病毒的主导因素 体内HIV感染中的细胞相互作用。2)了解本金 艾滋病毒在个体中和沿传播链演变的因素。

DESCRIPTION: (Adapted from the application) HIV infection in vivo involves many different cell types (uninfected cells permissive for virus replication, infected cells, HIV specific immune cells, and others) that interact with each other and whose numbers, in general, depend on time. The goal of this application is to use mathematical modeling to aid in understanding how such a system can work. The approach is to: i) select mathematical models of HIV/SIV infection based on the criterion that each model's predictions must agree with all significant experimental features of HIV pathogenesis in representative individuals currently available in literature; ii) validate the models selected by finding examples of possible biological mechanisms behind these models; iii) formulate predictions for follow-up experiments to test the models. This "strategy of multiple match" has been successfully used in the physical sciences for dealing with complex systems of unknown structure, but is novel for HIV research. The investigators will apply this strategy in the two following directions: 1) To elucidate the dominant factors of the virus-T cell interaction in an HIV infection in vivo. 2) To understand the principal factors of HIV evolution in individuals and along the transmission chain.