| Literature DB >> 32150354 |
Christian Dallago1, Tatyana Goldberg1, Miguel Angel Andrade-Navarro2, Gregorio Alanis-Lobato2,3, Burkhard Rost1,4,5,6,7.
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.Entities:
Keywords: biological visualization; protein interaction; protein localization
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Year: 2020 PMID: 32150354 DOI: 10.1002/cpbi.97
Source DB: PubMed Journal: Curr Protoc Bioinformatics ISSN: 1934-3396