HIV Drug Resistance Database

项目总结 艾滋病毒耐药性(HIVDR)是对抗逆转录病毒疗法(ART)成功的威胁，也是 消除艾滋病是一个公共卫生问题。艾滋病毒携带者在治疗期间出现病毒学失败 ART感染HIVDR的风险很高，可能会将耐药株传播给其他人，以及 感染抗药性艾滋病毒毒株的人发展为病毒学失败的风险很高。 全面、准确和公开的HIVDR数据对于基于人口的监测至关重要 获得性和传播性HIVDR，用于艾滋病毒感染患者的临床管理和识别 总体药物开发需求。管理、注释和传播主要数据库的公共数据库 来自HIVDR研究的数据将使我们有可能最大限度地识别和表征HIVDR突变 与监测、临床管理和药物开发相关，并将加快对 HIVDR的机制和对最新ARV方案应答的预测因素。 斯坦福艾滋病毒耐药性数据库(HIVDB)为以下项目提供了独特的概念框架 解决有关艾滋病毒治疗的主要分子靶点的数据密集型问题：逆转录酶， 蛋白水解酶和整合酶。HIVDB的序列分析程序也已整合到 全球许多研究实验室的工作流程。此研究资源项目旨在提高 HIVDB：(1)用可持续的系统化办法取代以前的特设数据征聘办法 方法；(2)精简其许多核心职能并使其自动化；(3)扩大目标用户群 最紧迫的全球艾滋病毒/艾滋病研究问题；以及(4)为全球艾滋病毒/艾滋病研究制定治理原则 将数据纳入HIVDB并访问HIVDB中的数据。 具体目标：(1)创建一个可持续的资源，编目疾病的程度和遗传机制 获得并传播了HIVDR。实现这一目标将使研究人员能够找出 出版文献，进行新奇分析，发现新知识；(2)定期更新 解释艾滋病毒基因耐药试验和其他在线HIVDR分析所需的知识库。 实现这一目标将建立可应用于全球艾滋病毒/艾滋病数据分析的标准。 每年进行多项分子流行病学和临床研究；及(3)加强 通过创建改进的软件客户端和支持国内和国际研究合作 用于访问HIVDB的API和用于分析HIVDR数据的新开源软件。做到这一点 AIM将支持研究人员使用HIVDB来推进他们的研究，促进数据的公开获得 来自新的艾滋病毒/艾滋病研究，并产生反馈，用于开发更多的艾滋病毒/艾滋病研究工具。

PROJECT SUMMARY HIV drug resistance (HIVDR) is a threat to the success of antiretroviral therapy (ART) and a major barrier to the elimination of AIDS as a public health problem. Persons with HIV who develop virological failure during ART are at high risk of developing HIVDR and possibly transmitting a drug-resistant strain to others, and persons who are infected with a drug-resistant HIV strain are at high risk of developing virological failure. Comprehensive, accurate, and publicly available HIVDR data are essential for population-based monitoring of acquired and transmitted HIVDR, for the clinical management of HIV-infected patients, and for identifying overall drug-development needs. A public database that curates, annotates, and disseminates the primary data from HIVDR studies will make it possible to identify and characterize the HIVDR mutations most relevant to surveillance, clinical management, and drug development, and it will expedite research into the mechanisms of HIVDR and the predictors of response to the newest ARV regimens. The Stanford HIV Drug Resistance Database (HIVDB) has provided a unique conceptual framework for addressing data-intensive questions about the main molecular targets of HIV therapy: reverse transcriptase, protease, and integrase. HIVDB’s sequence analysis programs have also become integrated into the workflows of many research laboratories worldwide. This Research Resource project is designed to improve HIVDB by (i) replacing the previous ad hoc approach to data recruitment with a sustainable systematized approach; (ii) streamlining and automating many of its core functions; (iii) expanding the user base to target the most pressing global HIVDR research questions; and (iv) establishing principles of governance for the inclusion of data in HIVDB and access to data in HIVDB. Specific Aims: (1) To create a sustainable resource that catalogs the extent and genetic mechanisms of acquired and transmitted HIVDR. Accomplishing this aim will enable researchers to identify gaps in the published literature, perform novel analyses, and discover new knowledge; (2) To regularly update the knowledge base required for interpreting HIV genotypic resistance tests and other online HIVDR analyses. Accomplishing this aim will establish standards that can be applied to the analysis of HIVDR data across the many molecular epidemiological and clinical studies performed each year; and (3) To provide enhanced support for national and international research collaborations by creating improved software clients and APIs for accessing HIVDB and new open-source software for analyzing HIVDR data. Accomplishing this aim will support researchers in using HIVDB to advance their research, promote public availability of data from new HIVDR studies, and generate feedback to be used in developing additional HIVDR research tools.