Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9190
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dc.contributor.authorChanumolu, Sree Krishna-
dc.contributor.authorRout, Chittaranjan-
dc.contributor.authorChauhan, Rajinder S.-
dc.date.accessioned2023-01-14T04:47:23Z-
dc.date.available2023-01-14T04:47:23Z-
dc.date.issued2012-
dc.identifier.urihttp://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9190-
dc.description.abstractTargeting conserved proteins of bacteria through antibacterial medications has resulted in both the development of resistant strains and changes to human health by destroying beneficial microbes which eventually become breeding grounds for the evolution of resistances. Despite the availability of more than 800 genomes sequences, 430 pathways, 4743 enzymes, 9257 metabolic reactions and protein (three-dimensional) 3D structures in bacteria, no pathogenspecific computational drug target identification tool has been developed.en_US
dc.language.isoenen_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectPathogenic Bacteriaen_US
dc.subjectUniDrug-Targeten_US
dc.titleUniDrug-Target: A Computational Tool to Identify Unique Drug Targets in Pathogenic Bacteriaen_US
dc.typeArticleen_US
Appears in Collections:Journal Articles

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