APPLYING BIOINFORMATICS AND COMPUTATIONAL BIOLOGY TO STUDY HIV/AIDS

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 本项目侧重于计算流行病学的研究，重点关注一种主要关注的健康差距疾病--艾滋病毒/艾滋病。具体目标：1)在细胞内水平上开发艾滋病毒/艾滋病的新的微观流行病学计算模型：该模型的开发是为了提供关于如何将细胞内/分子水平的模型整合到宏观流行病学综合系统动力学模型中的见解，以检验各种计算实验。2)建立艾滋病毒/艾滋病多因素流行病学的系统动力学模型和模型。建立了一个结合了细胞/分子(微观水平)和宏观流行病学动力学的流行病学模型，用于研究非裔美国人亚群中艾滋病毒/艾滋病的预防和治疗策略。3)艾滋病毒/艾滋病多因素流行病学模型：已经开展了相互关联(生物医学、行为和社会经济因素)决定因素的多因素和定量流行病学研究。利用这些模型作为我们的实验媒介，我们评估各种干预方案，为社区推荐有效的策略，以最大限度地减少新感染的风险，预防未来的感染，并管理现有的感染。4)静态建模以检查HAART治疗HIV/AIDS是否有效。为了回答哪种HAART组合最有效的问题，我们与阿拉巴马大学伯明翰分校(UAB)1917年艾滋病毒/艾滋病诊所合作。尽管这项研究的结果在一开始看起来很有希望，但它们并没有提供明确和可靠的结果。 研究和结果：正在准备稿件，准备提交给期刊。计划：继续分析数据，收集更多数据和信息，以估计艾滋病毒/艾滋病模型的参数和变量，重点放在非裔美国人艾滋病的宏观流行病学上。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. This project focuses upon Research in Computational Epidemiology with an emphasis on a health disparity disease of major concern, that of HIV/AIDS. SPECIFIC AIMS: 1) Development of a novel micro-epidemiologic computational model for HIV/AIDS at the intracellular level: The model was developed to provide insights in how an intracellular/molecular level model can be incorporated within a macro-epidemiologic integrative systems dynamics model for examining a variety of computational experimentations. 2) Development of a systems dynamics model and modelling of the multifactorial epidemiology of HIV/AIDS. An epidemiologic model that incorporates cellular/molecular (micro level) and macro level epidemiologic dynamics for examining preventive and therapeutic strategies of HIV/AIDS in African American sub populations was developed. 3) Modelling of the multifactorial epidemiology of HIV/AIDS: Multifactorial and quantitative epidemiologic studies that interrelate (biomedical, behavioral, and socioeconomic factors) determinants have been developed. Using these models as our experimental medium, we evaluate various intervention scenarios to recommend effective strategies for the community to minimize the risk of new infections prevent future infections and manage existing infections. 4) Static modeling to examine if HAART Therapies for HIV/AIDS. To answer the question of which combination of HAART is most effective we collaborated with the University of Alabama at Birmingham (UAB) 1917 HIV/AIDS clinic. Although the results of this study appeared promising in the beginning, they did not provide clear and reliable outcomes. STUDIES AND RESULTS: Manuscripts are being prepared for submission to journals. PLANS: To continue analyzing data, gathering more data and information for the estimation of the parameters and variables of the model for HIV/AIDS with a focus on the macro-epidemiology of AIDS in African Americans.