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HiTSEE KNIME:一种用于 KNIME 平台高通量筛选实验中命中选择和分析的可视化工具。

HiTSEE KNIME: a visualization tool for hit selection and analysis in high-throughput screening experiments for the KNIME platform.

机构信息

Department of Computer Science, Konstanz University, Universitätsstrasse 10, Konstanz, Germany.

出版信息

BMC Bioinformatics. 2012;13 Suppl 8(Suppl 8):S4. doi: 10.1186/1471-2105-13-S8-S4. Epub 2012 May 18.

Abstract

We present HiTSEE (High-Throughput Screening Exploration Environment), a visualization tool for the analysis of large chemical screens used to examine biochemical processes. The tool supports the investigation of structure-activity relationships (SAR analysis) and, through a flexible interaction mechanism, the navigation of large chemical spaces. Our approach is based on the projection of one or a few molecules of interest and the expansion around their neighborhood and allows for the exploration of large chemical libraries without the need to create an all encompassing overview of the whole library. We describe the requirements we collected during our collaboration with biologists and chemists, the design rationale behind the tool, and two case studies on different datasets. The described integration (HiTSEE KNIME) into the KNIME platform allows additional flexibility in adopting our approach to a wide range of different biochemical problems and enables other research groups to use HiTSEE.

摘要

我们展示了 HiTSEE(高通量筛选探索环境),这是一种用于分析用于研究生化过程的大型化学筛选的可视化工具。该工具支持结构-活性关系(SAR 分析)的研究,并通过灵活的交互机制,实现对大型化学空间的导航。我们的方法基于一个或几个感兴趣的分子的投影,以及围绕它们的邻域的扩展,允许在不需要创建整个库的全面概述的情况下探索大型化学库。我们描述了在与生物学家和化学家合作过程中收集的要求、工具背后的设计原理,以及两个关于不同数据集的案例研究。描述的集成(HiTSEE KNIME)到 KNIME 平台中,允许我们的方法在更广泛的不同生化问题中具有更大的灵活性,并使其他研究小组能够使用 HiTSEE。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d2c/3355333/890be80c6174/1471-2105-13-S8-S4-1.jpg

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