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PMID: 15501914 Published · ppublish English Comparative Study Evaluation Study Journal Article Research Support, Non-U.S. Gov't

PSORTb v.2.0: expanded prediction of bacterial protein subcellular localization and insights gained from comparative proteome analysis.

Bioinformatics (Oxford, England) ·Vol. 21 ·No. 5 ·2005-03-01 ·Pages 617-23

Gardy JL, Laird MR, Chen F, Rey S, Walsh CJ, Ester M, Brinkman FS

Abstract

PSORTb v.1.1 is the most precise bacterial localization prediction tool available. However, the program's predictive coverage and recall are low and the method is only applicable to Gram-negative bacteria. The goals of the present work are as follows: increase PSORTb's coverage while maintaining the existing precision level, expand it to include Gram-positive bacteria and then carry out a comparative analysis of localization. An expanded database of proteins of known localization and new modules using frequent subsequence-based support vector machines was introduced into PSORTb v.2.0. The program attains a precision of 96% for Gram-positive and Gram-negative bacteria and predictive coverage comparable to other tools for whole proteome analysis. We show that the proportion of proteins at each localization is remarkably consistent across species, even in species with varying proteome size. Web-based version: http://www.psort.org/psortb. Standalone version: Available through the website under GNU General Public License. [email protected], [email protected] http://www.psort.org/psortb/supplementaryinfo.html.

MeSH Terms
Algorithms Bacterial Proteins/metabolism Gene Expression Profiling/methods Gram-Negative Bacteria/metabolism Gram-Positive Bacteria/metabolism Proteome/metabolism Sequence Alignment/methods Sequence Analysis, Protein/methods Software Subcellular Fractions/metabolism
Chemicals
Bacterial Proteins Proteome
Authors & Affiliations
7 authors, click to expand affiliations / ORCID
Gardy J L
Department of Molecular Biology and Biochemistry, Simon Fraser University Burnaby, BC, Canada V5A 1S6.
Laird M R
Chen F
Rey S
Walsh C J
Ester M
Brinkman F S L
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4803
Published
2005-03-01
Epub
2004-00-22
Pages
617-23
Language
English
Region
England
NLM ID
9808944
Subset
IM
Analysis Services
Analysis Services

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