Jonsson Pall F, Bates Paul A
Biomolecular Modelling Laboratory, Cancer Research UK London Research Institute 44 Lincoln's Inn Fields, London, WC2A 3PX, UK.
Bioinformatics. 2006 Sep 15;22(18):2291-7. doi: 10.1093/bioinformatics/btl390. Epub 2006 Jul 14.
The study of interactomes, or networks of protein-protein interactions, is increasingly providing valuable information on biological systems. Here we report a study of cancer proteins in an extensive human protein-protein interaction network constructed by computational methods.
We show that human proteins translated from known cancer genes exhibit a network topology that is different from that of proteins not documented as being mutated in cancer. In particular, cancer proteins show an increase in the number of proteins they interact with. They also appear to participate in central hubs rather than peripheral ones, mirroring their greater centrality and participation in networks that form the backbone of the proteome. Moreover, we show that cancer proteins contain a high ratio of highly promiscuous structural domains, i.e., domains with a high propensity for mediating protein interactions. These observations indicate an underlying evolutionary distinction between the two groups of proteins, reflecting the central roles of proteins, whose mutations lead to cancer.
The interactome data are available though the PIP (Potential Interactions of Proteins) web server at http://bmm.cancerresearchuk.org/servers/pip. Further additional material is available at http://bmm.cancerresearchuk.org/servers/pip/bioinformatics/
对蛋白质相互作用组,即蛋白质 - 蛋白质相互作用网络的研究,正越来越多地为生物系统提供有价值的信息。在此,我们报告了一项在通过计算方法构建的广泛人类蛋白质 - 蛋白质相互作用网络中对癌症蛋白质的研究。
我们发现,从已知癌症基因翻译而来的人类蛋白质呈现出一种与未记录为在癌症中发生突变的蛋白质不同的网络拓扑结构。具体而言,癌症蛋白质与它们相互作用的蛋白质数量有所增加。它们似乎也更多地参与到中心枢纽而非外围区域,这反映了它们在构成蛋白质组主干的网络中具有更高的中心性和参与度。此外,我们表明癌症蛋白质含有高比例的高度混杂的结构域,即具有高介导蛋白质相互作用倾向的结构域。这些观察结果表明这两组蛋白质在进化上存在潜在差异,反映了那些其突变会导致癌症的蛋白质的核心作用。
蛋白质相互作用组数据可通过PIP(蛋白质潜在相互作用)网络服务器获取,网址为http://bmm.cancerresearchuk.org/servers/pip 。更多额外材料可在http://bmm.cancerresearchuk.org/servers/pip/bioinformatics/获取 。