Basha Omer, Flom Dvir, Barshir Ruth, Smoly Ilan, Tirman Shoval, Yeger-Lotem Esti
Department of Clinical Biochemistry & Pharmacology, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.
Department of Computer Science, Faculty of Natural Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.
Nucleic Acids Res. 2015 Jul 1;43(W1):W258-63. doi: 10.1093/nar/gkv515. Epub 2015 May 18.
The identification of the molecular pathways active in specific contexts, such as disease states or drug responses, often requires an extensive view of the potential interactions between a subset of proteins. This view is not easily obtained: it requires the integration of context-specific protein list or expression data with up-to-date data of protein interactions that are typically spread across multiple databases. The MyProteinNet web server allows users to easily create such context-sensitive protein interaction networks. Users can automatically gather and consolidate data from up to 11 different databases to create a generic protein interaction network (interactome). They can score the interactions based on reliability and filter them by user-defined contexts including molecular expression and protein annotation. The output of MyProteinNet includes the generic and filtered interactome files, together with a summary of their network attributes. MyProteinNet is particularly geared toward building human tissue interactomes, by maintaining tissue expression profiles from multiple resources. The ability of MyProteinNet to facilitate the construction of up-to-date, context-specific interactomes and its applicability to 11 different organisms and to tens of human tissues, make it a powerful tool in meaningful analysis of protein networks. MyProteinNet is available at http://netbio.bgu.ac.il/myproteinnet.
识别在特定环境(如疾病状态或药物反应)中活跃的分子途径,通常需要全面了解蛋白质子集中潜在的相互作用。这种全面的了解并不容易获得:它需要将特定环境下的蛋白质列表或表达数据与通常分散在多个数据库中的最新蛋白质相互作用数据进行整合。MyProteinNet网络服务器允许用户轻松创建这种上下文敏感的蛋白质相互作用网络。用户可以自动从多达11个不同的数据库收集和整合数据,以创建一个通用的蛋白质相互作用网络(相互作用组)。他们可以根据可靠性对相互作用进行评分,并通过包括分子表达和蛋白质注释在内的用户定义上下文对其进行筛选。MyProteinNet的输出包括通用的和经过筛选的相互作用组文件,以及它们的网络属性摘要。通过维护来自多种资源的组织表达谱,MyProteinNet特别适合构建人类组织相互作用组。MyProteinNet能够促进构建最新的、上下文特定的相互作用组,并且适用于11种不同的生物体和数十种人类组织,使其成为蛋白质网络有意义分析中的一个强大工具。MyProteinNet可在http://netbio.bgu.ac.il/myproteinnet获取。