GPS-Prot: a web-based visualization platform for integrating host-pathogen interaction data.
GPS-Prot: a web-based visualization platform for integrating host-pathogen interaction data.
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DOI：
10.1186/1471-2105-12-298
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发表时间：
2011-07-22
影响因子：
3
通讯作者：
Krogan NJ
中科院分区：
文献类型：
--
作者：
Fahey ME;Bennett MJ;Mahon C;Jäger S;Pache L;Kumar D;Shapiro A;Rao K;Chanda SK;Craik CS;Frankel AD;Krogan NJ
艾滋病毒-宿主相互作用数据集（包括物理和遗传相互作用）的可用性日益增加，因此需要软件工具来整合和可视化数据。由于这些宿主-病原体相互作用是广泛的，并且在许多不同的数据库中发现了人类蛋白质之间的相互作用，因此很难生成整合的HIV-人类相互作用网络。我们已经开发了一个基于网络的平台，称为GPS-Prot http://www.gpsprot.org，它允许轻松集成不同的HIV相互作用数据类型，以及包含来自公共数据库（包括MINT，BioGRID和HPRD）的人类蛋白质之间的相互作用。该软件能够将蛋白质分组为功能模块或蛋白质复合物，生成更直观的网络表示，并允许上传用户生成的数据。GPS-Prot是一个软件工具，使用户能够轻松创建全面和综合的艾滋病毒宿主网络。与其他可视化工具相比，该平台的一个主要优势是其基于Web的格式，无需安装软件或下载数据。GPS-Prot允许新手用户快速生成网络，该网络将HIV与其人类宿主之间的遗传和蛋白质-蛋白质相互作用联合收割机结合成单一表示。最终，该平台可扩展到其他宿主-病原体系统。
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.
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影响因子：
4.8
作者：
Jaeger, Stefanie;Gulbahce, Natali;Krogan, Nevan J.
通讯作者：
Krogan, Nevan J.
影响因子：
16
作者：
He N;Liu M;Hsu J;Xue Y;Chou S;Burlingame A;Krogan NJ;Alber T;Zhou Q
通讯作者：
Zhou Q
影响因子：
64.8
作者：
Gavin, AC;Aloy, P;Superti-Furga, G
通讯作者：
Superti-Furga, G
影响因子：
14.9
作者：
Chatr-aryamontri, Andrew;Ceol, Arnaud;Palazzi, Luisa Montecchi;Nardelli, Giuliano;Schneider, Maria Victoria;Castagnoli, Luisa;Cesareni, Gianni
通讯作者：
Cesareni, Gianni
影响因子：
64.5
作者：
Goff SP
通讯作者：
Goff SP