Resource for Biocomputing, Visualization, and Informatics, Department of Pharmaceutical Chemistry, University of California, San Francisco, California 94158-2517, USA.
Mol Cell Proteomics. 2010 Aug;9(8):1703-15. doi: 10.1074/mcp.R000007-MCP201. Epub 2010 Jun 4.
Linking proteomics and structural data is critical to our understanding of cellular processes, and interactive exploration of these complementary data sets can be extremely valuable for developing or confirming hypotheses in silico. However, few computational tools facilitate linking these types of data interactively. In addition, the tools that do exist are neither well understood nor widely used by the proteomics or structural biology communities. We briefly describe several relevant tools, and then, using three scenarios, we present in depth two tools for the integrated exploration of proteomics and structural data.
将蛋白质组学和结构数据联系起来对于我们理解细胞过程至关重要,交互式探索这些互补数据集对于在计算机上开发或验证假设非常有价值。然而,很少有计算工具能够方便地进行这种类型的数据交互链接。此外,现有的工具既没有被很好地理解,也没有被蛋白质组学或结构生物学领域广泛使用。我们简要描述了几个相关的工具,然后,通过三个场景,深入介绍了两种用于蛋白质组学和结构数据集成探索的工具。