PSORTb v.2.0: Expanded prediction of bacterial protein subcellular localization and insights gained from comparative proteome analysis
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ID: 307608
2004
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Abstract
Abstract Motivation: 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. Results: 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. Availability: Web-based version: http://www.psort.org/psortb. Standalone version: Available through the website under GNU General Public License. Contact: psort-mail@sfu.ca, brinkman@sfu.ca Supplementary information: http://www.psort.org/psortb/supplementaryinfo.html
| Reference Key |
openalex_W2154202919
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|---|---|
| Authors | Jennifer L. Gardy, Matthew R. Laird, Fen‐Ling Chen, Sébastien Rey, Calum J. Walsh, Martin Ester, Fiona S. L. Brinkman |
| Journal | BMC Bioinformatics |
| Year | 2004 |
| DOI |
10.1093/bioinformatics/bti057
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| URL | |
| Keywords | Keywords not found |
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