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Title
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Genomic target database (GTD): A database of potential targets in human pathogenic bacteria
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Authors
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Debmalya Barh1,*, Anil Kumar2, Amarendra Narayana Misra3
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Affiliation
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1Centre for Genomics and Applied Gene Technology, IIOAB, Nonakuri, Purba Medinipur, WB, India; 2School of Biotechnology, Devi Ahilya University, Khandwa Road Campus, Indore, MP, India; 3Department of Biosciences and Biotechnology, FM University, Balasore, Orrisa, India
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Article Type
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Hypothesis
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Date
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Received February 23, 2009; Revised April 27, 2009; Accepted June 13, 2009; Published August 17, 2009
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Abstract |
A Genomic Target Database (GTD) has been developed having putative genomic drug targets for human bacterial pathogens. The selected pathogens are either drug resistant or vaccines are yet to be developed against them. The drug targets have been identified using subtractive genomics approaches and these are subsequently classified into (1) Drug targets in pathogen specific unique metabolic pathways, (2) Drug targets in host-pathogen common metabolic pathways, and (3) Membrane localized drug targets. HTML code is used to link each target to its various properties and other available public resources. Essential resources and tools for subtractive genomic analysis, sub-cellular localization, vaccine and drug designing are also mentioned. To the best of authors knowledge, no such database (DB) is presently available that has listed metabolic pathways and membrane specific genomic drug targets based on subtractive genomics. Listed targets in GTD are readily available resource in developing drug and vaccine against the respective pathogen, its subtypes, and other family members. Currently GTD contains 58 drug targets for four pathogens. Shortly, drug targets for six more pathogens will be listed.
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Keywords
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Genomic drug targets, database, pathogenic bacteria, metabolic pathway targets, membrane associated targets, candidate vaccine targets.
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Citation
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Barh et al., Bioinformation 4(1): 50-51 (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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Biomedical Informatics
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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.
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