Schüler Andreas, Bornberg-Bauer Erich
Bioinformatics Division, School of Biological Sciences, Institute for Evolution and Biodiversity, University of Muenster, Münster, Germany.
Methods Mol Biol. 2011;696:273-89. doi: 10.1007/978-1-60761-987-1_17.
The availability of high-throughput methods to detect protein interactions made construction of comprehensive protein interaction networks for several important model organisms possible. Many studies have since focused on uncovering the structural principles of these networks and relating these structures to biological processes. On a global scale, there are striking similarities in the structure of different protein interaction networks, even when distantly related species, such as the yeast Saccharomyces cerevisiae and the fruit fly Drosophila melanogaster, are compared. However, there is also considerable variance in network structures caused by the gain and loss of genes and mutations which alter the interaction behavior of the encoded proteins. Here, we focus on the current state of knowledge on the structure of protein interaction networks and the evolutionary processes that shaped these structures.
用于检测蛋白质相互作用的高通量方法的出现,使得构建几种重要模式生物的全面蛋白质相互作用网络成为可能。自那以后,许多研究都集中在揭示这些网络的结构原理,并将这些结构与生物过程联系起来。在全球范围内,即使比较亲缘关系较远的物种,如酿酒酵母和果蝇,不同蛋白质相互作用网络的结构也存在显著相似性。然而,由于基因的获得和丢失以及改变编码蛋白质相互作用行为的突变,网络结构也存在相当大的差异。在这里,我们关注蛋白质相互作用网络结构的当前知识状态以及塑造这些结构的进化过程。