Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/108341
Title: Differential genome analyses of metabolic enzymes in pseudomonas aeruginosa for drug target identification
Authors: Perumal, D.
Lim, C.S.
Sakharkar, K.R. 
Sakharkar, M.K.
Keywords: Comparative microbial genomics
Homo sapiens
Homology
KEGG
LpxC
MODELLER
Potential drug targets
Pseudomonas aeruginosa
Issue Date: 2007
Citation: Perumal, D., Lim, C.S., Sakharkar, K.R., Sakharkar, M.K. (2007). Differential genome analyses of metabolic enzymes in pseudomonas aeruginosa for drug target identification. In Silico Biology 7 (4-5) : 453-465. ScholarBank@NUS Repository.
Abstract: Complete genome sequences of several pathogenic bacteria have been determined, and many more such projects are currently under way. While these data potentially contain all the determinants of host-pathogen interactions and possible drug targets, computational tools for selecting suitable candidates for further experimental analyses are currently limited. Detection of bacterial genes that are non-homologous to human genes, and are essential for the survival of the pathogen represents a promising means of identifying novel drug targets. We used a differential pathway analyses approach (based on KEGG data) to identify essential genes from Pseudomonas aeruginosa. Our approach identified 214 unique enzymes in P. aeruginosa that may be potential drug targets and can be considered for rational drug design. About 40% of these putative targets have been reported as essential by transposon mutagenesis data elsewhere. Homology model for one of the proteins (LpxC) is presented as a case study and can be explored for in silico docking with suitable inhibitors. This approach is a step towards facilitating the search for new antibiotics. © 2007 IOS Press. All rights reserved.
Source Title: In Silico Biology
URI: http://scholarbank.nus.edu.sg/handle/10635/108341
ISSN: 13866338
Appears in Collections:Staff Publications

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