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Title
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Genome subtraction for novel target definition in Salmonella typhi
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Authors
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Bhawna Rathi, Aditya N. Sarangi, Nidhi Trivedi | |
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Affiliation
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Biomedical Informatics Centre, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow 226014, India | |
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Article Type
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Hypothesis | |
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Date
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Received May 07, 2009; Revised August 24, 2009; Accepted September 11, 2009; Published October 11, 2009 | |
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Abstract |
Large genomic sequencing projects of pathogens as well as human genome leads to immense genomic and proteomic data which would be very beneficial for the novel target identification in pathogens. Subtractive genomic approach is one of the most useful strategies helpful in identification of potential targets. The approach works by subtracting the genes or proteins homologous to both host and the pathogen and identify those set of gene or proteins which are essential for the pathogen and are exclusively present in the pathogen. Subtractive genomic approach is employed to identify novel target in salmonella typhi. The pathogen has 4718 proteins out of which 300 are found to be essential (“indispensable to support cellular life”) in the pathogen with no human homolog. Metabolic pathway analyses of these 300 essential proteins revealed that 149 proteins are exclusively involved in several metabolic pathway of S. typhi. 8 metabolic pathways are found to be present exclusively in the pathogen comprising of 27 enzymes unique to the pathogen. Thus, these 27 proteins may serve as prospective drug targets. Sub-cellular localization prediction of the 300 essential proteins was done which reveals that 11 proteins lie on the outer membrane of the pathogen which could be probable vaccine candidates.
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Keywords |
Subtractive genomics approach, proteome, drug targets. | |
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Citation
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Rathi et al., Bioinformation 4(4): 143-150 (2009) | |
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Edited by
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P. Kangueane
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ISSN
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0973-2063
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Publisher
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License
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This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License. |