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Visual Analysis of Biological Activity Data with Scaffold Hunter

机译:支架猎人的生物活性数据的可视化分析

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The growing interest in chemogenomics approaches over the last years has led to an increasing amount of data regarding chemical and the corresponding biological activity space. The resulting data, collected in either in-house or public databases, need to be analyzed efficiently to speed-up the increasingly difficult task of drug discovery. Unfortunately, the discovery of new chemical entities or new targets for known drugs ('drug repurposing') is not suitable to a fully automated analysis or a simple drill down process. Visual interactive interfaces that allow to explore chemical space in a systematic manner and facilitate analytical reasoning can help to overcome these problems. Scaffold Hunter is a tool for the visual analysis of chemical compound databases that provides integrated visualization and analysis of biological activity data and fosters the interactive exploration of data imported from a variety of sources. We describe the features and illustrate the use by means of an exemplary analysis workflow.
机译:近年来,对化学基因组学方法的兴趣日益浓厚,导致有关化学和相应的生物活性空间的数据量不断增加。需要对内部或公共数据库中收集到的数据进行有效分析,以加快日益困难的药物发现任务。不幸的是,发现新的化学实体或已知药物的新靶标(“重新利用药物”)不适合全自动分析或简单的向下钻取过程。可视交互界面允许系统地探索化学空间并促进分析推理,有助于克服这些问题。 Scaffold Hunter是用于化合物数据库的可视化分析的工具,可提供对生物活性数据的集成可视化和分析,并促进对从各种来源导入的数据的交互式探索。我们描述了这些功能并通过示例性的分析工作流程说明了其用法。

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