HIV Toolbox, an interactive, visual, and customizable HIV Protein Ontology

描述（由申请人提供）：人们对研究艾滋病毒以改善艾滋病大流行的治疗非常感兴趣。随着对病原体的研究进入第四个十年，HIV感染正成为研究得最好的生物系统之一。人类宿主的HIV感染可以被认为是一个大型复杂系统，就像我们每天与之互动的交通、互联网、社会和经济系统一样。我们认为，就像前面提到的宏观系统一样，我们应该开始整合信息并开发工具来呈现信息，以促进将艾滋病毒作为一个系统而不是一个分离的微域的集合进行研究。为了开始解决这个问题的一个方面，我们的实验室建立了HIVToolbox，一个关于HIV蛋白质的数据库和一个开放访问的网络系统，以统一的视图显示这些信息，以促进对HIV蛋白质序列、结构和功能的研究；连接:[http://hivtoolbox.bio-toolkit.com]。这种集成的、交互式的HIVToolbox系统允许对数据不集成的其他方法不易揭示的关系进行可视化挖掘。这种方法对产生假设、实验设计和实验解释都很有用。HIVToolbox是我们所知道的唯一一个将序列、结构、功能和保存的数据和坐标显示在统一界面上的网站。在过去一年半的时间里，HIVToolbox已经获得了大约10万次点击量的广泛受众。在这里，我们提出通过实现新的方法来使用HIVToolbox中的序列、结构、功能和保守信息，从而显著扩展HIVToolbox的功能。新的艾滋病毒工具箱还将使药物结合位点与耐药突变进行比较，从而有助于在抗逆转录病毒药物设计中考虑耐药问题。我们还将生成一个公共的HIV本体，可用于HIV生物信息学研究，并将HIV研究与其他领域联系起来。这种数据结构和表示方法也可以作为研究人类健康和疾病的其他重要方面的模型。

DESCRIPTION (provided by applicant): There is enormous interest in studying HIV to improve the treatment for the AIDS pandemic. As study of the pathogen enters its 4th decade, HIV infection is becoming one of the best-studied biological systems. HIV infection of a human host can be considered a large complex system like the transportation, Internet, social, and economic systems we interact with daily. We contend that like the aforementioned macroscopic systems, we should begin to integrate information and develop tools for presenting the information to facilitate the study of HIV as a system, rather than a collection of segregated microdomains. To begin addressing one aspect of this issue, our laboratory has built HIVToolbox, a database about HIV proteins and an open-access web system that displays this information in a unified view to facilitate the study of HIV protein sequence, structure, and function; weblink: [http://hivtoolbox.bio-toolkit.com]. This integrated, interactive HIVToolbox system allows visual mining of relationships that are not readily revealed by other approaches where data is not integrated as well. This approach is useful for generating hypotheses, experimental design, and interpretation of experiments. HIVToolbox is the only website we know of that readily integrates data and coordinates display of sequence, structure, function, and conservation in a unified interface. HIVToolbox has already reached a wide audience with ~100,000 hits in the last 1.5 years. Here, we propose a significant expansion of the functionality of by implementing new approaches for using sequence, structural, function, and conservation information in HIVToolbox. The new HIVToolbox will also enabling comparison of drug binding sites with drug resistance mutations as an aid to consider drug resistance in ARV drug design. We will also generate a public HIV ontology that can be used for HIV bioinformatics research and connecting HIV research with other fields. This approach to data structure and presentation can also serve as a model for studying other important aspects of human health and disease.