Department of Cellular and Molecular Pharmacology, University of California San Francisco, 1700 4th Street, San Francisco, CA 94158, USA.
BMC Bioinformatics. 2011 Jul 22;12:298. doi: 10.1186/1471-2105-12-298.
The increasing availability of HIV-host interaction datasets, including both physical and genetic interactions, has created a need for software tools to integrate and visualize the data. Because these host-pathogen interactions are extensive and interactions between human proteins are found within many different databases, it is difficult to generate integrated HIV-human interaction networks.
We have developed a web-based platform, termed GPS-Prot http://www.gpsprot.org, that allows for facile integration of different HIV interaction data types as well as inclusion of interactions between human proteins derived from publicly-available databases, including MINT, BioGRID and HPRD. The software has the ability to group proteins into functional modules or protein complexes, generating more intuitive network representations and also allows for the uploading of user-generated data.
GPS-Prot is a software tool that allows users to easily create comprehensive and integrated HIV-host networks. A major advantage of this platform compared to other visualization tools is its web-based format, which requires no software installation or data downloads. GPS-Prot allows novice users to quickly generate networks that combine both genetic and protein-protein interactions between HIV and its human host into a single representation. Ultimately, the platform is extendable to other host-pathogen systems.
越来越多的 HIV 宿主相互作用数据集(包括物理和遗传相互作用)的出现,使得人们需要软件工具来整合和可视化这些数据。由于这些宿主-病原体的相互作用非常广泛,而且人类蛋白质之间的相互作用存在于许多不同的数据库中,因此很难生成整合的 HIV-人类相互作用网络。
我们开发了一个基于网络的平台,称为 GPS-Prot http://www.gpsprot.org,它允许轻松整合不同类型的 HIV 相互作用数据,以及包括来自公共数据库(包括 MINT、BioGRID 和 HPRD)的人类蛋白质之间的相互作用。该软件具有将蛋白质分组为功能模块或蛋白质复合物的功能,生成更直观的网络表示形式,并且还允许上传用户生成的数据。
GPS-Prot 是一个软件工具,允许用户轻松创建全面和整合的 HIV 宿主网络。与其他可视化工具相比,该平台的一个主要优势是其基于网络的格式,不需要软件安装或数据下载。GPS-Prot 允许新手用户快速生成网络,将 HIV 与其人类宿主之间的遗传和蛋白质-蛋白质相互作用结合到单个表示形式中。最终,该平台可扩展到其他宿主-病原体系统。