CYTOSCAPE PLUG-INS FOR PROTEIN SUPERFAMILY ASSOCIATIONS

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 通过实验手段已经收集了大量的多维数据集，这些数据集传达了单个蛋白质和蛋白质超家族之间的关系。事实证明，通过定性和定量分析从这些数据集中提取相关信息是困难的。为可视化和分析蛋白质-蛋白质网络而开发的基于Web的开源应用程序Cytoscape可以作为研究这些数据集的有用工具。我们的目标是为细胞景观开发新的“插件”，使研究人员能够直观和定量地了解实验确定的蛋白质超家族之间的关联。潜在地，我们希望将细胞景观与结构分析软件结合起来，为研究大型蛋白质超家族数据集提供更强大的手段。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Numerous large multidimensional datasets communicating the relationships between individual proteins and protein superfamilies have been collected by experimental means. Extracting relevant information from these datasets through qualitative and quantitative analysis has proven difficult. Cytoscape, an open source Web-based application developed for the purposes of visualizing and analyzing protein-protein networks, could serve as a useful tool for studying these datasets. Our goal is to develop new "plug-ins" for Cytoscape that will allow researchers to visually and quantitatively understand experimentally determined associations between protein superfamilies. Potentially, we would like to couple Cytoscape with structural analysis software to provide even more powerful means of investigating large protein superfamily datasets.