Literature DB >> 32150354

Visualizing Human Protein-Protein Interactions and Subcellular Localizations on Cell Images Through CellMap.

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.
© 2019 The Authors. Basic Protocol 1: Visualizing proteins and their interactions on cell images Basic Protocol 2: Displaying all interaction partners for a protein. © 2020 The Authors.

Entities:  

Keywords:  biological visualization; protein interaction; protein localization

Mesh:

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Year:  2020        PMID: 32150354     DOI: 10.1002/cpbi.97

Source DB:  PubMed          Journal:  Curr Protoc Bioinformatics        ISSN: 1934-3396


  2 in total

Review 1.  Overview of methods for characterization and visualization of a protein-protein interaction network in a multi-omics integration context.

Authors:  Vivian Robin; Antoine Bodein; Marie-Pier Scott-Boyer; Mickaël Leclercq; Olivier Périn; Arnaud Droit
Journal:  Front Mol Biosci       Date:  2022-09-08

2.  PredictProtein - Predicting Protein Structure and Function for 29 Years.

Authors:  Michael Bernhofer; Christian Dallago; Tim Karl; Venkata Satagopam; Michael Heinzinger; Maria Littmann; Tobias Olenyi; Jiajun Qiu; Konstantin Schütze; Guy Yachdav; Haim Ashkenazy; Nir Ben-Tal; Yana Bromberg; Tatyana Goldberg; Laszlo Kajan; Sean O'Donoghue; Chris Sander; Andrea Schafferhans; Avner Schlessinger; Gerrit Vriend; Milot Mirdita; Piotr Gawron; Wei Gu; Yohan Jarosz; Christophe Trefois; Martin Steinegger; Reinhard Schneider; Burkhard Rost
Journal:  Nucleic Acids Res       Date:  2021-07-02       Impact factor: 16.971

  2 in total

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