Christian Dallago, Tatyana Goldberg, Miguel Angel Andrade-Navarro, Gregorio Alanis-Lobato, Burkhard Rost
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Abstract
Visualizing protein data remains a challenging and stimulating task. Useful and intuitive visualization tools may help advance biomolecular and medical research; unintuitive tools may bar important breakthroughs. This protocol describes two use cases for the CellMap (http://cellmap.protein.properties) web tool. The tool allows researchers to visualize human protein-protein interaction data constrained by protein subcellular localizations. In the simplest form, proteins are visualized on cell images that also show protein-protein interactions (PPIs) through lines (edges) connecting the proteins across the compartments. At a glance, this simultaneously highlights spatial constraints that proteins are subject to in their physical environment and visualizes PPIs against these localizations. Visualizing two realities helps in decluttering the protein interaction visualization from “hairball” phenomena that arise when single proteins or groups thereof interact with hundreds of partners. © 2019 The Authors.
Basic Protocol 1 : Visualizing proteins and their interactions on cell images
Basic Protocol 2 : Displaying all interaction partners for a protein
可视化人类蛋白质-蛋白质相互作用和亚细胞定位在细胞图像上通过细胞地图
可视化蛋白质数据仍然是一项具有挑战性和刺激性的任务。有用和直观的可视化工具可能有助于推进生物分子和医学研究;不直观的工具可能阻碍重大突破。本协议描述了CellMap (http://cellmap.protein.properties) web工具的两个用例。该工具允许研究人员可视化受蛋白质亚细胞定位限制的人类蛋白质-蛋白质相互作用数据。在最简单的形式中,蛋白质在细胞图像上可视化,也通过连接隔室蛋白质的线(边缘)显示蛋白质-蛋白质相互作用(PPIs)。乍一看,这同时突出了蛋白质在其物理环境中受到的空间限制,并显示了针对这些定位的ppi。可视化两种现实有助于从“毛球”现象中理清蛋白质相互作用的可视化,当单个蛋白质或其群体与数百个伙伴相互作用时,就会出现这种现象。©2019作者。基本方案1:在细胞图像上可视化蛋白质及其相互作用基本方案2:显示蛋白质的所有相互作用伙伴
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