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4 - Central Institute of Brackishwater Aquaculture

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National Workshop-cum-Tra~nlng on Blolnformatiu and Infomatlon Management in Aquacultum<br />

SUBTRACTIVE GENOMIC APPROACH TO IDENTIFY<br />

POTENTIAL DRUG TARGETS AND ACTIVE SITES I N<br />

CHLAMYDOPHILA PNEUMONIAE<br />

S C Patnaik, E H K Reddy, Gyana R Satpathy'<br />

Abstract<br />

Whole genome sequences <strong>of</strong> the human pathogen Chlamydophila pneumoniae<br />

and four other strains <strong>of</strong> same species were analyzed to identify common drug<br />

targets. A substractive genomic approach is applied to identify Holliday junction<br />

DNA helicase RuvB as the common non-human homologous gene among these<br />

four strains. A three-dimensional model <strong>of</strong> the Holliday junction DNA helicase<br />

RuvB protein was generated with homology modelling. The protein is analysed<br />

for identification <strong>of</strong> suitable target sites.<br />

Keywords: Chlamydophila pneumoniae, BLAST, MSA, homologous,<br />

modeling, active site<br />

homology<br />

1. Introduction<br />

Chlamydophila pneumoniae is a widespread obligate intracellular gram negative<br />

bacterium that causes upper and lower respiratory infections worldwide<br />

[Grayston et al., 19901. In addition to acute infections, several chronic<br />

inflammatory diseases have been associated with C, pneumoniae infection.<br />

Increasing evidence implicates that a persistent lung infection caused by C.<br />

pneumoniae may contribute to the initiation, exacerbation and promotion <strong>of</strong><br />

asthma symptoms [Hahn, 1999; Cazzola et al., 20041.<br />

Identification <strong>of</strong> the target molecule inside various metabolic pathways is the first<br />

step when designing drugs against a pathogen. The vastness <strong>of</strong> the pathogen<br />

genomes has made this work more difficult involving considarable sum <strong>of</strong> labor<br />

and time. As microbial populations have rapid growth rates, evolution <strong>of</strong><br />

resistance can occur in relatively short time frames. Moreover, resistance genes<br />

can be dispersed rapidly by genetic exchange systems among diverse bacterial<br />

specles. It is therefore essential to develop rapid processes to identify novel<br />

antibiotics. Genes that are conserved in different organism <strong>of</strong>ten turn out to be<br />

essential. These essential genes should not have any well-conserved homolog in<br />

the human host. Inactivation <strong>of</strong> essential genes by any drug should result in the<br />

lethal phenotype in the pathogen [Judson and Mekalanos, 20001.<br />

Large amount <strong>of</strong> sequence data is generated from various microbial genome<br />

sequencing projects around the world. These datasets create a major challenge<br />

in the post-genomic era. The strategies for drug design and development are<br />

increasingly shifting from the genetic approach to the genomic approach<br />

[Galperin and Koonin, 19991. Subtractive genomics has been successfully used<br />

by authors to locate novel drug targets in Pseudomonas aeruginosa, Helicobactor<br />

'Correspondence: Gyana Ranjan Satpathy, Coordinator, Bioinformatics Centre, National<br />

<strong>Institute</strong> <strong>of</strong> Technology, Rourkela-769008, India: Email: gyanasatpathy@gmaiI.com

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