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Journal of Computer Science & Systems Biology

ISSN: 0974-7230

Open Access

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

Abstract

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

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.

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