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 PSORTI - 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 PSORTI and the accuracy of some methods now rivals that of certain high-throughput laboratory methods for protein localization identification.