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.

中文翻译：

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分子相互作用搜索工具（MIST）：用于挖掘基因和蛋白质相互作用数据的综合资源

模型有机体和人类数据库中充斥着有关遗传和物理相互作用的信息。这些数据可用于解释和指导对新研究结果的分析，并提出新的假设。在这里，我们报告了分子相互作用搜索工具（MIST; http://fgrtools.hms.harvard.edu/MIST/）。MIST数据库整合了来自酵母，线虫，果蝇，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（称为内部同源物）来识别相互作用的伴侣，并查看相应的网络。MIST的数据，内部对话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外，我们还演示了如何使用MIST来确定适当的临界值，以平衡假阳性和阴性发现，并介绍其他类型分析的用例。共，