articleBioinformaticsOct 22, 2004Closed access

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

Simon Fraser University

Indexed incrossrefdoaj

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…

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Authors

7

Topics & keywords

Keywords
  • Proteome
  • Computer science
  • n-gram
  • Subsequence
  • Support vector machine
  • Computational biology
  • MIT License
  • Subcellular localization
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