SEARCH FOR WORKING MODELS OF HIV PERSISTENCE & EVOLUTION

描述：（改编自本申请）体内HIV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， 感染的细胞，HIV特异性免疫细胞和其他细胞）， 其他的，其数量一般取决于时间。 这个目标 应用程序是使用数学建模，以帮助理解如何这样的一个 系统可以工作。方法是：i）选择HIV/SIV的数学模型 基于每个模型的预测必须符合的标准 HIV发病机制的所有重要实验特征， 目前文献中的个人; ii）验证模型 通过寻找这些背后可能的生物学机制的例子来选择 模型; iii）为后续实验制定预测，以测试 模型 这种“多重匹配策略”已成功地应用于 物理科学用于处理未知结构的复杂系统，但 对HIV研究来说是新的。 研究人员将在 两个方向：1）阐明T病毒的优势因子 HIV感染中的细胞相互作用。2)为了了解校长 艾滋病毒在个人和沿着传播链演变的因素。

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.