Wu Jianmin, Vallenius Tea, Ovaska Kristian, Westermarck Jukka, Mäkelä Tomi P, Hautaniemi Sampsa
Genome-Scale Biology Program, Institute of Biomedicine, University of Helsinki, Haartmaninkatu 8, Helsinki, Finland.
Nat Methods. 2009 Jan;6(1):75-7. doi: 10.1038/nmeth.1282. Epub 2008 Dec 14.
There is an increasing demand for network analysis of protein-protein interactions (PPIs). We introduce a web-based protein interaction network analysis platform (PINA), which integrates PPI data from six databases and provides network construction, filtering, analysis and visualization tools. We demonstrated the advantages of PINA by analyzing two human PPI networks; our results suggested a link between LKB1 and TGFbeta signaling, and revealed possible competitive interactors of p53 and c-Jun.
对蛋白质-蛋白质相互作用（PPI）的网络分析需求日益增长。我们推出了一个基于网络的蛋白质相互作用网络分析平台（PINA），该平台整合了来自六个数据库的PPI数据，并提供网络构建、筛选、分析和可视化工具。我们通过分析两个人类PPI网络证明了PINA的优势；我们的结果表明LKB1和TGFβ信号传导之间存在联系，并揭示了p53和c-Jun可能的竞争性相互作用分子。
