LOCATE: a mouse protein subcellular localization database
Open Access
- 1 January 2006
- journal article
- research article
- Published by Oxford University Press (OUP) in Nucleic Acids Research
- Vol. 34 (90001) , D213-D217
- https://doi.org/10.1093/nar/gkj069
Abstract
We present here LOCATE, a curated, web-accessible database that houses data describing the membrane organization and subcellular localization of proteins from the FANTOM3 Isoform Protein Sequence set. Membrane organization is predicted by the high-throughput, computational pipeline MemO. The subcellular locations of selected proteins from this set were determined by a high-throughput, immunofluorescence-based assay and by manually reviewing > 1700 peer-reviewed publications. LOCATE represents the first effort to catalogue the experimentally verified subcellular location and membrane organization of mammalian proteins using a high-throughput approach and provides localization data for similar to 40% of the mouse proteome. It is available at http://locate.imb.uq.edu.au.Keywords
This publication has 25 references indexed in Scilit:
- SCOP database in 2004: refinements integrate structure and sequence family dataNucleic Acids Research, 2004
- The Pfam protein families databaseNucleic Acids Research, 2004
- Mouse Proteome AnalysisGenome Research, 2003
- MGD: the Mouse Genome DatabaseNucleic Acids Research, 2003
- Large-scale analysis of the human and mouse transcriptomesProceedings of the National Academy of Sciences, 2002
- Protein–Protein Interaction Panel Using Mouse Full-Length cDNAsGenome Research, 2001
- The HMMTOP transmembrane topology prediction serverBioinformatics, 2001
- Topogenesis of membrane proteins: determinants and dynamicsFEBS Letters, 2001
- Predicting transmembrane protein topology with a hidden markov model: application to complete genomes11Edited by F. CohenJournal of Molecular Biology, 2001
- Gene Ontology: tool for the unification of biologyNature Genetics, 2000