In silico analysis of potential diagnostic targets from Burkholderia pseudomallei

Trans R Soc Trop Med Hyg. 2008 Dec:102 Suppl 1:S61-5. doi: 10.1016/S0035-9203(08)70017-8.

Abstract

Administration of appropriate therapeutic regimes for infections arising from pathogenic species of Burkholderia is critically dependent upon rapid and accurate diagnoses. The purpose of this work is to establish a bioinformatic pipeline to assess protein sequences for their potential as diagnostic targets for the detection of Burkholderia species. Data are presented showing both a bioinformatic methodology for prediction of surface-associated and secreted proteins and its application to a test dataset of proteins from the pathogen B. pseudomallei. A subset of proteins, known to be produced by the organism, is identified which represents potential targets for development of new diagnostic reagents. In addition, a 'reverse diagnostics' bioinformatics approach has been established which can now be extended to whole genome analyses.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bacterial Outer Membrane Proteins / genetics
  • Bacterial Outer Membrane Proteins / isolation & purification
  • Burkholderia pseudomallei / genetics*
  • Burkholderia pseudomallei / isolation & purification
  • Humans
  • Melioidosis / diagnosis*
  • Membrane Proteins / genetics
  • Membrane Proteins / isolation & purification*
  • Molecular Sequence Data
  • Proteomics / methods*
  • Reagent Kits, Diagnostic / standards

Substances

  • Bacterial Outer Membrane Proteins
  • Membrane Proteins
  • Reagent Kits, Diagnostic