Review

Nature Reviews Microbiology 4, 741-751 (October 2006) | doi:10.1038/nrmicro1494

There is a Corrigendum (1 November 2006) associated with this article.

Methods for predicting bacterial protein subcellular localization

Jennifer L. Gardy1 & Fiona S. L. Brinkman2  About the authors

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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.

Author affiliations

  1. Centre for Microbial Diseases and Immunity Research, University of British Columbia, Vancouver, British Columbia, V6T 1Z4 Canada.
  2. Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, British Columbia, V5A 1S6 Canada.

Correspondence to: Fiona S. L. Brinkman2 Email: brinkman@sfu.ca

Published online 11 September 2006

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