LOCATE: A mammalian protein subcellular localization database

Sprenger, J., Fink, L., Karunaratne, S., Hanson, K., Hamilton, N. A. and Teasdale, R. D. (2008) LOCATE: A mammalian protein subcellular localization database. Nucleic Acids Research, 36 Database issue: D230-D233. doi:10.1093/nar/gkm950

Author Sprenger, J.
Fink, L.
Karunaratne, S.
Hanson, K.
Hamilton, N. A.
Teasdale, R. D.
Title LOCATE: A mammalian protein subcellular localization database
Journal name Nucleic Acids Research   Check publisher's open access policy
ISSN 0305-1048
Publication date 2008-01-01
Year available 2008
Sub-type Article (original research)
DOI 10.1093/nar/gkm950
Open Access Status DOI
Volume 36
Issue Database issue
Start page D230
End page D233
Total pages 4
Place of publication Oxford
Publisher Oxford University Press
Language eng
Subject C1
270103 Protein Targeting and Signal Transduction
780105 Biological sciences
Abstract LOCATE is a curated, web-accessible database that houses data describing the membrane organization and subcellular localization of mouse and human proteins. Over the past 2 years, the data in LOCATE have grown substantially. The database now contains high-quality localization data for 20% of the mouse proteome and general localization annotation for nearly 36% of the mouse proteome. The proteome annotated in LOCATE is from the RIKEN FANTOM Consortium Isoform Protein Sequence sets which contains 58 128 mouse and 64 637 human protein isoforms. Other additions include computational subcellular localization predictions, automated computational classification of experimental localization image data, prediction of protein sorting signals and third party submission of literature data. Collectively, this database provides localization proteome for individual subcellular compartments that will underpin future systematic investigations of these regions.
Keyword Biochemistry & Molecular Biology
Biochemistry & Molecular Biology
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 80 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 93 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Sat, 12 Apr 2008, 00:52:47 EST by Cody Mudgway on behalf of Institute for Molecular Bioscience