Abstract

Information on protein subcellular localization is important to understand the cellular functions of proteins. Currently, such information is manually curated from the literature, obtained from high-throughput microscopy-based screens and predicted from primary sequence. To get a comprehensive view of the localization of a protein, it is thus necessary to consult multiple databases and prediction tools. To address this, we present the COMPARTMENTS resource, which integrates all sources listed above as well as the results of automatic text mining. The resource is automatically kept up to date with source databases, and all localization evidence is mapped onto common protein identifiers and Gene Ontology terms. We further assign confidence scores to the localization evidence to facilitate comparison of different types and sources of evidence. To further improve the comparability, we assign confidence scores based on the type and source of the localization evidence. Finally, we visualize the unified localization evidence for a protein on a schematic cell to provide a simple overview. Database URL: http://compartments.jensenlab.org.

Keywords

UnificationVisualizationComputer scienceSubcellular localizationComputational biologyInformation retrievalArtificial intelligenceCell biologyBiologyProgramming language

MeSH Terms

Cell CompartmentationData MiningDatabasesProteinHumansInternetProteinsSubcellular Fractions

Affiliated Institutions

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Publication Info

Year
2014
Type
article
Volume
2014
Issue
0
Pages
bau012-bau012
Citations
687
Access
Closed

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687
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27
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558
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Cite This

Janos X. Binder, Sune Pletscher-Frankild, Kalliopi Tsafou et al. (2014). COMPARTMENTS: unification and visualization of protein subcellular localization evidence. Database , 2014 (0) , bau012-bau012. https://doi.org/10.1093/database/bau012

Identifiers

DOI
10.1093/database/bau012
PMID
24573882
PMCID
PMC3935310

Data Quality

Data completeness: 86%