title: pTARGET: a web server for predicting protein subcellular localization.
abstract: The pTARGET web server enables prediction of nine distinct protein subcellular localizations in eukaryotic non-plant species. Predictions are made using a new algorithm [C. Guda and S. Subramaniam (2005) pTARGET [corrected] a new method for predicting protein subcellular localization in eukaryotes. Bioinformatics, 21, 3963-3969], which is primarily based on the occurrence patterns of location-specific protein functional domains in different subcellular locations. We have implemented a relational database, PreCalcDB, to store pre-computed prediction results for all eukaryotic non-plant protein sequences in the public domain that includes about 770,000 entries. Queries can be made by entering protein sequences or by uploading a file containing up to 5000 protein sequences in FASTA format. Prediction results for queries with matching entries in the PreCalcDB will be retrieved instantly; while for the missing ones new predictions will be computed and sent by email. Pre-computed predictions can also be downloaded for complete proteomes of Saccharomyces cerevisiae, Caenorhabditis elegans, Drosophila, Mus musculus and Homo sapiens. The server, its documentation and the data are accessible from http://bioinformatics.albany.edu/~ptarget.
authors.affiliation: Gen*NY*sis Center for Excellence in Cancer Genomics and Department of Epidemiology and Biostatistics, University at Albany, State University of New York, 1 Discovery drive, Rensselaer, NY 12144-3456, USA.
authors.forename: Chittibabu
authors.initials: C
authors.lastname: Guda
mesh_terms: D000465:Algorithms; D000818:Animals; D006801:Humans; D020407:Internet; D051379:Mice; D011506:Proteins / Q000032:analysis* / Q000737:chemistry*; D040901:Proteomics / Q000379:methods*; D020539:Sequence Analysis, Protein; D012984:Software; D014584:User-Computer Interface
chemical_list: D011506:Proteins