Sharan Roded, Suthram Silpa, Kelley Ryan M, Kuhn Tanja, McCuine Scott, Uetz Peter, Sittler Taylor, Karp Richard M, Ideker Trey
Computer Science Division, University of California, Berkeley, CA 94704, USA.
Proc Natl Acad Sci U S A. 2005 Feb 8;102(6):1974-9. doi: 10.1073/pnas.0409522102. Epub 2005 Feb 1.
To elucidate cellular machinery on a global scale, we performed a multiple comparison of the recently available protein-protein interaction networks of Caenorhabditis elegans, Drosophila melanogaster, and Saccharomyces cerevisiae. This comparison integrated protein interaction and sequence information to reveal 71 network regions that were conserved across all three species and many exclusive to the metazoans. We used this conservation, and found statistically significant support for 4,645 previously undescribed protein functions and 2,609 previously undescribed protein interactions. We tested 60 interaction predictions for yeast by two-hybrid analysis, confirming approximately half of these. Significantly, many of the predicted functions and interactions would not have been identified from sequence similarity alone, demonstrating that network comparisons provide essential biological information beyond what is gleaned from the genome.
为了在全球范围内阐明细胞机制,我们对秀丽隐杆线虫、黑腹果蝇和酿酒酵母最近可用的蛋白质-蛋白质相互作用网络进行了多重比较。这种比较整合了蛋白质相互作用和序列信息,以揭示在所有三个物种中都保守的71个网络区域以及许多后生动物特有的区域。我们利用这种保守性,为4645种以前未描述的蛋白质功能和2609种以前未描述的蛋白质相互作用找到了具有统计学意义的支持。我们通过双杂交分析测试了酵母的60个相互作用预测,证实了其中大约一半。值得注意的是,许多预测的功能和相互作用仅从序列相似性中无法识别,这表明网络比较提供了超出从基因组中收集到的基本生物学信息。