Hakes Luke, Robertson David L, Oliver Stephen G, Lovell Simon C
Centre for the Analysis of Biological Complexity, Faculty of Life Sciences, The University of Manchester, Michael Smith Building, Oxford Road, Manchester M13 9PT, UK.
Comp Funct Genomics. 2007;2007:49356. doi: 10.1155/2007/49356. Epub 2006 Dec 20.
By combining crystallographic information with protein-interaction data obtained through traditional experimental means, this paper determines the most appropriate method for generating protein-interaction networks that incorporate data derived from protein complexes. We propose that a combined method should be considered; in which complexes composed of five chains or less are decomposed using the matrix model, whereas the spoke model is used to derive pairwise interactions for those with six chains or more. The results presented here should improve the accuracy and relevance of studies investigating the topology of protein-interaction networks.
通过将晶体学信息与通过传统实验手段获得的蛋白质相互作用数据相结合,本文确定了生成包含蛋白质复合物数据的蛋白质相互作用网络的最合适方法。我们建议应考虑一种组合方法;其中由五条或更少链组成的复合物使用矩阵模型进行分解,而辐条模型用于推导由六条或更多链组成的复合物的成对相互作用。本文给出的结果应能提高研究蛋白质相互作用网络拓扑结构的研究的准确性和相关性。