Literature DB >> 23427987

Subcellular localization charts: a new visual methodology for the semi-automatic localization of protein-related data sets.

Björn Sommer1, Benjamin Kormeier, Pavel S Demenkov, Patrizio Arrigo, Klaus Hippe, Özgür Ates, Alexey V Kochetov, Vladimir A Ivanisenko, Nikolay A Kolchanov, Ralf Hofestädt.   

Abstract

The CELLmicrocosmos PathwayIntegration (CmPI) was developed to support and visualize the subcellular localization prediction of protein-related data such as protein-interaction networks. From the start it was possible to manually analyze the localizations by using an interactive table. It was, however, quite complicated to compare and analyze the different localization results derived from data integration as well as text-mining-based databases. The current software release provides a new interactive visual workflow, the Subcellular Localization Charts. As an application case, a MUPP1-related protein-protein interaction network is localized and semi-automatically analyzed. It will be shown that the workflow was dramatically improved and simplified. In addition, it is now possible to use custom protein-related data by using the SBML format and get a view of predicted protein localizations mapped onto a virtual cell model.

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Year:  2013        PMID: 23427987     DOI: 10.1142/S0219720013400052

Source DB:  PubMed          Journal:  J Bioinform Comput Biol        ISSN: 0219-7200            Impact factor:   1.122


  4 in total

1.  Analysis of signaling networks distributed over intracellular compartments based on protein-protein interactions.

Authors:  Olga Vasil'evna Popik; Olga Vladimirovna Saik; Evgeny Dmitrievich Petrovskiy; Björn Sommer; Ralf Hofestädt; Inna Nikolaevna Lavrik; Vladimir Aleksandrovich Ivanisenko
Journal:  BMC Genomics       Date:  2014-12-19       Impact factor: 3.969

2.  From Single Variants to Protein Cascades: MULTISCALE MODELING OF SINGLE NUCLEOTIDE VARIANT SETS IN GENETIC DISORDERS.

Authors:  Sabine C Mueller; Björn Sommer; Christina Backes; Jan Haas; Benjamin Meder; Eckart Meese; Andreas Keller
Journal:  J Biol Chem       Date:  2015-11-24       Impact factor: 5.157

3.  The Proteome of a Healthy Human during Physical Activity under Extreme Conditions.

Authors:  I M Larina; V A Ivanisenko; E N Nikolaev; A I Grigorev
Journal:  Acta Naturae       Date:  2014-07       Impact factor: 1.845

4.  The Virtual-Spine Platform-Acquiring, visualizing, and analyzing individual sitting behavior.

Authors:  Stephen Jia Wang; Björn Sommer; Wenlong Cheng; Falk Schreiber
Journal:  PLoS One       Date:  2018-06-13       Impact factor: 3.240

  4 in total

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