POINT: a database for the prediction of protein-protein interactions based on the orthologous interactome
POINT: a database for the prediction of protein-protein interactions based on the orthologous interactome
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DOI：
10.1093/bioinformatics/bth366
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发表时间：
2004-11-22
期刊：
影响因子：
5.8
通讯作者：
Huang, CYF
中科院分区：
文献类型：
--
作者：
Huang, TW;Tien, AC;Huang, CYF
了解目标蛋白的生物学功能的一个可能途径是通过发现它如何在蛋白质-蛋白质相互作用网络中相互作用。本研究的目的是利用同源保守（或互作）的概念创建一个虚拟的蛋白质-蛋白质相互作用模型，以阐明特定靶蛋白的相互作用网络。POINT ((p) under bar prediction （o) under barf (int) under bar eractome database）是一个基于可用的同源相互作用组数据集预测人类蛋白质-蛋白质相互作用组的功能数据库。POINT整合了几个可公开访问的数据库，重点是从相互作用蛋白数据库（DIP）中提取大量的小鼠、果蝇、蠕虫和酵母蛋白质-蛋白质相互作用数据集，然后将它们转换为预测的人类相互作用组。此外，蛋白质之间的相互作用需要时间同步性和精确的空间接近性。因此，POINT还结合了从细胞周期微阵列数据库获得的相关mRNA表达簇和来自Gene Ontology的亚细胞定位，以进一步确定每个预测的相互作用蛋白质伴侣集的生物学相关性的可能性。
One possible path towards understanding the biological function of a target protein is through the discovery of how it interfaces within protein-protein interaction networks. The goal of this study was to create a virtual protein-protein interaction model using the concepts of orthologous conservation (or interologs) to elucidate the interacting networks of a particular target protein. POINT (the (p) under bar rediction (o) under barf (int) under bar eractome database) is a functional database for the prediction of the human protein-protein interactome based on available orthologous interactome datasets. POINT integrates several publicly accessible databases, with emphasis placed on the extraction of a large quantity of mouse, fruit fly, worm and yeast protein-protein interactions datasets from the Database of Interacting Proteins (DIP), followed by conversion of them into a predicted human interactome. In addition, protein-protein interactions require both temporal synchronicity and precise spatial proximity. POINT therefore also incorporates correlated mRNA expression clusters obtained from cell cycle microarray databases and subcellular localization from Gene Ontology to further pinpoint the likelihood of biological relevance of each predicted interacting sets of protein partners.