Suppr超能文献

HIVToolbox,一个用于研究 HIV 的集成网络应用程序。

HIVToolbox, an integrated web application for investigating HIV.

机构信息

School of Life Sciences, University of Nevada Las Vegas, Las Vegas, Nevada, United States of America.

出版信息

PLoS One. 2011;6(5):e20122. doi: 10.1371/journal.pone.0020122. Epub 2011 May 25.

Abstract

Many bioinformatic databases and applications focus on a limited domain of knowledge federating links to information in other databases. This segregated data structure likely limits our ability to investigate and understand complex biological systems. To facilitate research, therefore, we have built HIVToolbox, which integrates much of the knowledge about HIV proteins and allows virologists and structural biologists to access sequence, structure, and functional relationships in an intuitive web application. HIV-1 integrase protein was used as a case study to show the utility of this application. We show how data integration facilitates identification of new questions and hypotheses much more rapid and convenient than current approaches using isolated repositories. Several new hypotheses for integrase were created as an example, and we experimentally confirmed a predicted CK2 phosphorylation site. Weblink: [http://hivtoolbox.bio-toolkit.com].

摘要

许多生物信息学数据库和应用程序专注于知识的有限领域,将链接联合到其他数据库中的信息。这种隔离的数据结构可能限制了我们调查和理解复杂生物系统的能力。因此,为了促进研究,我们构建了 HIVToolbox,它集成了大量关于 HIV 蛋白的知识,并允许病毒学家和结构生物学家在直观的 Web 应用程序中访问序列、结构和功能关系。HIV-1 整合酶蛋白被用作案例研究,以展示该应用程序的实用性。我们展示了数据集成如何比当前使用孤立存储库的方法更快速、更方便地识别新问题和假设。作为一个示例,我们创建了几个针对整合酶的新假设,并通过实验证实了一个预测的 CK2 磷酸化位点。网络链接:[http://hivtoolbox.bio-toolkit.com]。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1955/3102074/7527c7b5adc0/pone.0020122.g002.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验