Lee Wei-Po, Jeng Bing-Chiang, Pai Tun-Wen, Tsai Chin-Pei, Yu Chang-Yung, Tzou Wen-Shyong
Department of Information Management, National University of Kaohsiung, Taiwan.
BMC Genomics. 2006 Apr 25;7:89. doi: 10.1186/1471-2164-7-89.
The importance of a network motif (a recurring interconnected pattern of special topology which is over-represented in a biological network) lies in its position in the hierarchy between the protein molecule and the module in a protein-protein interaction network. Until now, however, the methods available have greatly restricted the scope of research. While they have focused on the analysis in the resolution of a motif topology, they have not been able to distinguish particular motifs of the same topology in a protein-protein interaction network.
We have been able to assign the molecular function annotations of Gene Ontology to each protein in the protein-protein interactions of Saccharomyces cerevisiae. For various motif topologies, we have developed an algorithm, enabling us to unveil one million "motif modes", each of which features a unique topological combination of molecular functions. To our surprise, the conservation ratio, i.e., the extent of the evolutionary constraints upon the motif modes of the same motif topology, varies significantly, clearly indicative of distinct differences in the evolutionary constraints upon motifs of the same motif topology. Equally important, for all motif modes, we have found a power-law distribution of the motif counts on each motif mode. We postulate that motif modes may very well represent the evolutionary-conserved topological units of a protein interaction network.
For the first time, the motifs of a protein interaction network have been investigated beyond the scope of motif topology. The motif modes determined in this study have not only enabled us to differentiate among different evolutionary constraints on motifs of the same topology but have also opened up new avenues through which protein interaction networks can be analyzed.
网络基序(一种反复出现的具有特殊拓扑结构的互联模式,在生物网络中过度呈现)的重要性在于其在蛋白质 - 蛋白质相互作用网络中蛋白质分子与模块之间层次结构中的位置。然而,到目前为止,可用的方法极大地限制了研究范围。虽然它们专注于基序拓扑结构分辨率的分析,但无法区分蛋白质 - 蛋白质相互作用网络中相同拓扑结构的特定基序。
我们能够将基因本体论的分子功能注释分配给酿酒酵母蛋白质 - 蛋白质相互作用中的每个蛋白质。对于各种基序拓扑结构,我们开发了一种算法,使我们能够揭示一百万个“基序模式”,每个基序模式都具有独特的分子功能拓扑组合。令我们惊讶的是,保守率,即对相同基序拓扑结构的基序模式的进化约束程度,差异显著,清楚地表明对相同基序拓扑结构的基序的进化约束存在明显差异。同样重要的是,对于所有基序模式,我们发现每个基序模式上的基序计数呈幂律分布。我们推测基序模式很可能代表蛋白质相互作用网络的进化保守拓扑单元。
首次在基序拓扑结构范围之外研究了蛋白质相互作用网络的基序。本研究中确定的基序模式不仅使我们能够区分对相同拓扑结构基序的不同进化约束,还开辟了分析蛋白质相互作用网络的新途径。