title: Methods for predicting bacterial protein subcellular localization.
abstract: The computational prediction of the subcellular localization of bacterial proteins is an important step in genome annotation and in the search for novel vaccine or drug targets. Since the 1991 release of PSORT I--the first comprehensive algorithm to predict bacterial protein localization--many other localization prediction tools have been developed. These methods offer significant improvements in predictive performance over PSORT I and the accuracy of some methods now rivals that of certain high-throughput laboratory methods for protein localization identification.
authors.affiliation: Centre for Microbial Diseases and Immunity Research, University of British Columbia, Vancouver, British Columbia, V6T 1Z4 Canada.
authors.forename: Jennifer L
authors.initials: JL
authors.lastname: Gardy
authors.forename: Fiona S L
authors.initials: FS
authors.lastname: Brinkman
mesh_terms: D000595:Amino Acid Sequence; D001419:Bacteria / Q000166:cytology* / Q000235:genetics / Q000378:metabolism*; D001426:Bacterial Proteins / Q000737:chemistry / Q000235:genetics / Q000378:metabolism*; D019295:Computational Biology / Q000379:methods*; D021381:Protein Transport; D012984:Software
chemical_list: D001426:Bacterial Proteins