Su Chong, Peregrin-Alvarez Jose M, Butland Gareth, Phanse Sadhna, Fong Vincent, Emili Andrew, Parkinson John
Molecular Structure and Function, Hospital for Sick Children, 555 University Avenue, Toronto, ON M5G 1X8, Canada.
Nucleic Acids Res. 2008 Jan;36(Database issue):D632-6. doi: 10.1093/nar/gkm807. Epub 2007 Oct 16.
High throughput methods are increasingly being used to examine the functions and interactions of gene products on a genome-scale. These include systematic large-scale proteomic studies of protein complexes and protein-protein interaction networks, functional genomic studies examining patterns of gene expression and comparative genomics studies examining patterns of conservation. Since these datasets offer different yet highly complementary perspectives on cell behavior it is expected that integration of these datasets will lead to conceptual advances in our understanding of the fundamental design and evolutionary principles that underlie the organization and function of proteins within biochemical pathways. Here we present Bacteriome.org, a resource that combines locally generated interaction and evolutionary datasets with a previously generated knowledgebase, to provide an integrated view of the Escherichia coli interactome. Tools are provided which allow the user to select and visualize functional, evolutionary and structural relationships between groups of interacting proteins and to focus on genes of interest. Currently the database contains three interaction datasets: a functional dataset consisting of 3989 interactions between 1927 proteins; a 'core' high quality experimental dataset of 4863 interactions between 1100 proteins and an 'extended' experimental dataset of 9860 interactions between 2131 proteins. Bacteriome.org is available online at http://www.bacteriome.org.
高通量方法越来越多地用于在全基因组规模上研究基因产物的功能和相互作用。这些方法包括对蛋白质复合物和蛋白质-蛋白质相互作用网络进行系统的大规模蛋白质组学研究、检测基因表达模式的功能基因组学研究以及检测保守模式的比较基因组学研究。由于这些数据集提供了关于细胞行为的不同但高度互补的观点,预计整合这些数据集将在我们对生物化学途径中蛋白质的组织和功能所基于的基本设计和进化原则的理解上带来概念上的进步。在这里,我们展示了Bacteriome.org,这是一个将本地生成的相互作用和进化数据集与先前生成的知识库相结合的资源,以提供大肠杆菌相互作用组的综合视图。提供了一些工具,允许用户选择并可视化相互作用蛋白质组之间的功能、进化和结构关系,并专注于感兴趣的基因。目前,该数据库包含三个相互作用数据集:一个功能数据集,由1927个蛋白质之间的3989个相互作用组成;一个“核心”高质量实验数据集,由1100个蛋白质之间的4863个相互作用组成,以及一个“扩展”实验数据集,由2131个蛋白质之间的9860个相互作用组成。Bacteriome.org可在http://www.bacteriome.org在线获取。