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<em>In silico</em> Analysis Metabolic Pathways for Identification of Putative Drug Targets for Staphylococcus aureus | OMICS International | Abstract
ISSN: 0974-7230

Journal of Computer Science & Systems Biology
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Research Article

In silico Analysis Metabolic Pathways for Identification of Putative Drug Targets for Staphylococcus aureus

V. K. Morya*, Varun Dewaker, S. D. Mecarty and Raghuvir Singh

Department of Molecular and Cellular Engineering, Jacob School of Biotechnology and Bioengineering, Sam Higginbotom Institute of Agriculture, Technology and Sciences, Allahabad, Uttar Pradesh, INDIA

*Corresponding Author:
Dr. V.K. Morya
Assistant Professor
Department of Molecular and Cellular Engineering,
Jacob School of Biotechnology and Bioengineering,
Sam Higginbotom Institute of Agriculture Technology and Sciences,
Allahabad, Uttar Pradesh, INDIA
Tel: 91-9918002900
E-mail: [email protected]

Received Date: May 31, 2010; Accepted Date: June 10, 2010; Published Date: June 10, 2010

Citation: Morya VK, Dewaker V, Mecarty SD, Singh R (2010) In silico Analysis Metabolic Pathways for Identification of Putative Drug Targets for Staphylococcus aureus. J Comput Sci Syst Biol 3:062-069. doi: 10.4172/jcsb.1000058

Copyright: © 2010 Morya VK, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Staphylococcus aureus is one of the most important and studied gram positive bacterial strains, which have a great potential to infect human beings as well as other mammals. The hospital-acquired methicillin-resistant, vancomycinsusceptible gram–positive bacteria strain is responsible for much life threatening diseases like Toxic-shock syndrome, staphylococcal scarlet fever, meningitis, osteomyelitis, etc. This antibiotic resistance strain, lead to development of the new antibiotics or drug molecules which can kill or suppress the growth of Staphylococcus aureus. We have performed an insilico comparative analysis of metabolic pathways of the host Homo sapiens and the pathogen S. aureus. The e-value threshold cut-off was set to 0.005. We have identifi ed total 235 enzyme sequences, which are non homologous to Homo sapiens protein sequences and among them 59 enzymes are found to be essential for survival of the S. aureus according to the DEG database. Further PA-SUB analysis Results showed that about 52.5% enzymes are found to be in the cytoplasm, 13.5% enzymes are found to be in extracellular, 6.7% enzymes are plasma membrane protein and 27.1% enzymes are given no positive prediction. In this comparative analysis, we have also found 5 unique pathways among 59 essential and 23 non homologous enzymes.

Keywords

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