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

نویسندگان

  • Jennifer L. Gardy
  • Matthew R. Laird
  • Fei Chen
  • Sébastien Rey
  • C. J. Walsh
  • Martin Ester
  • Fiona S. L. Brinkman
چکیده

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 [email protected], [email protected] SUPPLEMENTARY INFORMATION http://www.psort.org/psortb/supplementaryinfo.html.

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PSORTdb—an expanded, auto-updated, user-friendly protein subcellular localization database for Bacteria and Archaea

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Title: PSORTb v.2.0: Expanded prediction of bacterial protein subcellular localization and insights gained from comparative proteome analysis Running head: PSORTb Localization Prediction

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عنوان ژورنال:
  • Bioinformatics

دوره 21 5  شماره 

صفحات  -

تاریخ انتشار 2005