LocSigDB: a database of protein localization signals

LocSigDB (http://genome.unmc.edu/LocSigDB/) is a manually curated database of experimental protein localization signals for eight distinct subcellular locations; primarily in a eukaryotic cell with brief coverage of bacterial proteins. Proteins must be localized at their appropriate subcellular comp...

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Bibliographic Details
Published in:Database : the journal of biological databases and curation 2015, Vol.2015, p.bav003-bav003
Main Authors: Negi, Simarjeet, Pandey, Sanjit, Srinivasan, Satish M, Mohammed, Akram, Guda, Chittibabu
Format: Article
Language:English
Subjects:
Animals
Bacteria - genetics
Bacteria - metabolism
Biomedical research
Databases, Protein
Eukaryotic Cells - metabolism
Genomes
Humans
Localization
Original
Protein Sorting Signals - genetics
Protein Transport - physiology
Proteins
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Summary:LocSigDB (http://genome.unmc.edu/LocSigDB/) is a manually curated database of experimental protein localization signals for eight distinct subcellular locations; primarily in a eukaryotic cell with brief coverage of bacterial proteins. Proteins must be localized at their appropriate subcellular compartment to perform their desired function. Mislocalization of proteins to unintended locations is a causative factor for many human diseases; therefore, collection of known sorting signals will help support many important areas of biomedical research. By performing an extensive literature study, we compiled a collection of 533 experimentally determined localization signals, along with the proteins that harbor such signals. Each signal in the LocSigDB is annotated with its localization, source, PubMed references and is linked to the proteins in UniProt database along with the organism information that contain the same amino acid pattern as the given signal. From LocSigDB webserver, users can download the whole database or browse/search for data using an intuitive query interface. To date, LocSigDB is the most comprehensive compendium of protein localization signals for eight distinct subcellular locations. Database URL: http://genome.unmc.edu/LocSigDB/
ISSN:1758-0463
1758-0463
DOI:10.1093/database/bav003