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In silico analysis of Burkholderia pseudomallei genome sequence for potential drug targets.

Authors
  • Chong, Chan-Eng
  • Lim, Boon-San
  • Nathan, Sheila
  • Mohamed, Rahmah
Type
Published Article
Journal
In silico biology
Publication Date
Jan 01, 2006
Volume
6
Issue
4
Pages
341–346
Identifiers
PMID: 16922696
Source
Medline
License
Unknown

Abstract

Recent advances in DNA sequencing technology have enabled elucidation of whole genome information from a plethora of organisms. In parallel with this technology, various bioinformatics tools have driven the comparative analysis of the genome sequences between species and within isolates. While drawing meaningful conclusions from a large amount of raw material, computer-aided identification of suitable targets for further experimental analysis and characterization, has also led to the prediction of non-human homologous essential genes in bacteria as promising candidates for novel drug discovery. Here, we present a comparative genomic analysis to identify essential genes in Burkholderia pseudomallei. Our in silico prediction has identified 312 essential genes which could also be potential drug candidates. These genes encode essential proteins to support the survival of B. pseudomallei including outer-inner membrane and surface structures, regulators, proteins involved in pathogenenicity, adaptation, chaperones as well as degradation of small and macromolecules, energy metabolism, information transfer, central/intermediate/miscellaneous metabolism pathways and some conserved hypothetical proteins of unknown function. Therefore, our in silico approach has enabled rapid screening and identification of potential drug targets for further characterization in the laboratory.

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