COMPARTMENTS: unification and visualization of protein subcellular localization evidence

被引:411
作者
Binder, Janos X. [1 ,2 ]
Pletscher-Frankild, Sune [3 ]
Tsafou, Kalliopi [3 ]
Stolte, Christian [4 ]
O'Donoghue, Sean I. [4 ,5 ]
Schneider, Reinhard [2 ]
Jensen, Lars Juhl [3 ]
机构
[1] European Mol Biol Lab, Struct & Computat Biol Unit, D-69117 Heidelberg, Germany
[2] Univ Luxembourg, Bioinformat Core Facil, Luxembourg Ctr Syst Biomed, L-4362 Esch Sur Alzette, Luxembourg
[3] Univ Copenhagen, Dept Dis Syst Biol, Novo Nordisk Fdn Ctr Prot Res, Fac Hlth & Med Sci, DK-2200 Copenhagen, Denmark
[4] CSIRO Computat Informat, Sydney, NSW 2113, Australia
[5] Garvan Inst Med Res, Sydney, NSW 2100, Australia
来源
DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION | 2014年
关键词
GENE ONTOLOGY; MITOCHONDRIAL; PEROXISOMES; PREDICTION; DATABASE; CLOSER;
D O I
10.1093/database/bau012
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
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页数:9
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