Please use this identifier to cite or link to this item:
|Title:||Biocomputational strategies for microbial drug target identification.||Authors:||Sakharkar, K.R.
|Issue Date:||2008||Citation:||Sakharkar, K.R., Sakharkar, M.K., Chow, V.T. (2008). Biocomputational strategies for microbial drug target identification.. Methods in molecular medicine 142 : 1-9. ScholarBank@NUS Repository.||Abstract:||The complete genome sequences of about 300 bacteria (mostly pathogenic) have been determined, and many more such projects are currently in progress. The detection of bacterial genes that are non-homologous to human genes and are essential for the survival of the pathogen represent a promising means of identifying novel drug targets. We present a subtractive genomics approach for the identification of putative drug targets in microbial genomes and demonstrate its execution using Pseudomonas aeruginosa as an example. The resultant analyses are in good agreement with the results of systematic gene deletion experiments. This strategy enables rapid potential drug target identification, thereby greatly facilitating the search for new antibiotics. It should be recognized that there are limitations to this computational approach for drug target identification. Distant gene relationships may be missed since the alignment scores are likely to have low statistical significance. In conclusion, the results of such a strategy underscore the utility of large genomic databases for in silico systematic drug target identification in the post-genomic era.||Source Title:||Methods in molecular medicine||URI:||http://scholarbank.nus.edu.sg/handle/10635/53395||ISSN:||15431894|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Sep 9, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.