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

Chan Eng Chong, Boon San Lim, Sheila Nathan, Rahmah Mohamed

Research output: Contribution to journalArticle

48 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)341-346
Number of pages6
JournalIn Silico Biology
Volume6
Issue number4
Publication statusPublished - 2006

Fingerprint

Burkholderia pseudomallei
Essential Genes
Computer Simulation
Drugs
Genome
Genes
Gene
Target
Protein
Pharmaceutical Preparations
Energy Metabolism
Technology
Proteins
Comparative Genomics
DNA Sequencing
Drug Discovery
Information Transfer
Prediction
Experimental Analysis
Computational Biology

Keywords

  • Antimicrobial targets
  • Burkholderia pseudomallei
  • Comparative genome analysis
  • Drug targets
  • Essential genes
  • Minimal gene set
  • Orthologous target genes

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

Cite this

In silico analysis of Burkholderia pseudomallei genome sequence for potential drug targets. / Chong, Chan Eng; Lim, Boon San; Nathan, Sheila; Mohamed, Rahmah.

In: In Silico Biology, Vol. 6, No. 4, 2006, p. 341-346.

Research output: Contribution to journalArticle

Chong, Chan Eng ; Lim, Boon San ; Nathan, Sheila ; Mohamed, Rahmah. / In silico analysis of Burkholderia pseudomallei genome sequence for potential drug targets. In: In Silico Biology. 2006 ; Vol. 6, No. 4. pp. 341-346.
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