Molecular Interaction Search Tool (MIST): an integrated resource for mining gene and protein interaction data.
Molecular Interaction Search Tool (MIST): an integrated resource for mining gene and protein interaction data.
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DOI：
10.1093/nar/gkx1116
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发表时间：
2018-01-04
影响因子：
14.9
通讯作者：
Perrimon N
中科院分区：
文献类型：
--
作者：
Hu Y;Vinayagam A;Nand A;Comjean A;Chung V;Hao T;Mohr SE;Perrimon N
模式生物和人类数据库中有丰富的关于遗传和物理相互作用的信息。这些数据可用于解释和指导新研究结果的分析，并开发新的假设。在这里，我们报告的分子相互作用搜索工具（MIST; http：//fgrtools.hms.harvard.edu/MIST/）的发展。MIST数据库整合了来自酵母、线虫、苍蝇、斑马鱼、青蛙、大鼠和小鼠模型系统以及人类的生物相互作用数据。对于单个或短基因列表，MIST用户界面可用于基于来自感兴趣物种的蛋白质-蛋白质和遗传相互作用（GI）数据以及推断的相互作用（称为interlogs）来识别相互作用伙伴，并查看相应的网络。MIST的数据、interlogs和搜索工具对于分析组学数据集也很有用。除了描述集成数据库之外，我们还演示了如何使用MIST来确定平衡假阳性和阴性发现的适当截止值，并为其他类型的分析提供用例。总之，MIST数据库和搜索工具支持现有蛋白质和GI数据的可视化和导航，以及新数据和现有数据的比较。
Model organism and human databases are rich with information about genetic and physical interactions. These data can be used to interpret and guide the analysis of results from new studies and develop new hypotheses. Here, we report the development of the Molecular Interaction Search Tool (MIST; http://fgrtools.hms.harvard.edu/MIST/). The MIST database integrates biological interaction data from yeast, nematode, fly, zebrafish, frog, rat and mouse model systems, as well as human. For individual or short gene lists, the MIST user interface can be used to identify interacting partners based on protein–protein and genetic interaction (GI) data from the species of interest as well as inferred interactions, known as interologs, and to view a corresponding network. The data, interologs and search tools at MIST are also useful for analyzing ‘omics datasets. In addition to describing the integrated database, we also demonstrate how MIST can be used to identify an appropriate cut-off value that balances false positive and negative discovery, and present use-cases for additional types of analysis. Altogether, the MIST database and search tools support visualization and navigation of existing protein and GI data, as well as comparison of new and existing data.