@inproceedings{2d8e49393eb74c289a658bb4cfea5739,
title = "In silico identification of putative drug targets in pseudomonas aeruginosa through metabolic pathway analysis",
abstract = "Comparative genomic analysis between pathogens and the host Homo sapiens has led to identification of novel drug targets. Microbial drug target identification and validation has been the latest trend in pharmacoinformatics. In order to identify a suitable drug target for the pathogen Pseudomonas aeruginosa an in silico comparative analysis of the metabolic pathways between the pathogen and the host Homo sapiens was performed. 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. Metabolic pathways for the pathogen and H. sapiens were obtained from the metabolic pathway database KEGG and were compared to identify unique pathways present only in the pathogen and absent in the host. We identified 361 enzymes from both unique and common pathways between the pathogen and the host of which 50 belong to the 12 unique pathways. Enzymes from both genomes were subject to a BLASTp search and sequences homologous to human were removed as non essential. P.aeruginosa targets without human homologs were identified when the e-value threshold was set as 10-2. Of the 214 targets that had no hits only 30 targets belong to unique pathways. These 30 targets were then compared with the list of candidate essential genes identified by mutagenesis. Only 8 targets matched with the essential genes list and these were considered as potential drug targets. We have built homology model for the four target genes lpxC, kdsA, kdsB and waaG using MODELLER software. This approach enables rapid potential drug target identification, thereby greatly facilitating the search for new antibiotics.",
keywords = "Comparative microbial genomics, Homo sapiens, Homology, KEGG, KdsA, KdsB, LpxC, MODELLER, Potential drug targets, Pseudomonas aeruginosa, WaaG",
author = "Deepak Perumal and Lim, {Chu Sing} and Sakharkar, {Meena K.}",
year = "2007",
doi = "10.1007/978-3-540-75286-8_31",
language = "English",
isbn = "9783540752851",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "323--336",
booktitle = "Pattern Recognition in Bioinformatics - Second IAPR International Workshop, PRIB 2007, Proceedings",
address = "Germany",
note = "2nd IAPR International Workshop on Pattern Recognition in Bioinformatics, PRIB 2007 ; Conference date: 01-10-2007 Through 02-10-2007",
}