Methods for predicting bacterial protein subcellular localization.
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.
Gardy
Jennifer L
JL
Centre for Microbial Diseases and Immunity Research, University of British Columbia, Vancouver, British Columbia, V6T 1Z4 Canada.
Brinkman
Fiona S L
FS
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
D001426:Bacterial Proteins