In Search of New Anti-bacterial Target Genes: A Comparative/Structural Genomics Approach

Author(s): Jean-Michel Claverie, Vincent Monchois, Stephane Audic, Olivier Poirot, Chantal Abergel

Journal Name: Combinatorial Chemistry & High Throughput Screening
Accelerated Technologies for Biotechnology, Bioassays, Medicinal Chemistry and Natural Products Research

Volume 5 , Issue 7 , 2002

Become EABM
Become Reviewer

Abstract:

We outline a joint academic/industrial (CNRS/AVENTIS) functional genomics project aiming at the discovery of new anti-bacterial gene targets. Starting from all publicly available bacterial genomes, a subset of the most evolutionary conserved protein-coding genes has been identified. We retained genes with clear homolog in E. coli and at least one gram-positive bacterium among B.subtilis, M. tuberculosis, L. lactis or S. pyogenes. This subset was further reduced to genes encoding non-membrane proteins of unknown or hypothetical functions. The 221 E. coli Open Reading Frames (ORFs) identified through this comprehensive bioinformatic analysis are now submitted to a systematic 3-D structure determination protocol including cloning, protein expression and purification, crystallisation and X-ray diffraction. Our strategy was designed to focus on promising wide-spectrum targets as well as original biochemical pathways. Bioinformatics is used throughout all phases of project, including the initial large-scale comparative genomics analyses, the purification/expression and crystallisation stages for the detection of helpful sequence-specific features (e.g. cofactor binding motifs, non-structured N- or C- term extremities, etc … ), and finally for the interpretation of the structures in conjunction with multiple sequence alignments for the identification of key residues, interaction areas on molecular surfaces, and overall function predictions.

Keywords: anti-bacterial, target discovery, structural genomics, bioinformatics

Rights & PermissionsPrintExport Cite as

Article Details

VOLUME: 5
ISSUE: 7
Year: 2002
Page: [511 - 522]
Pages: 12
DOI: 10.2174/1386207023330002
Price: $65

Article Metrics

PDF: 2