Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/14025
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dc.contributor.authorGore, D G-
dc.contributor.authorRathod, M K-
dc.contributor.authorSoni, V-
dc.contributor.authorRai, M M-
dc.date.accessioned2012-05-02T04:16:27Z-
dc.date.available2012-05-02T04:16:27Z-
dc.date.issued2012-04-
dc.identifier.issn0975-0967 (Online); 0972-5849 (Print)-
dc.identifier.urihttp://hdl.handle.net/123456789/14025-
dc.description224-234en_US
dc.description.abstractSalmonella typhi, a known human pathogen registering multiple drug resistance, causes majority of endemic cases in developing nations. S. typhi genome was marked with the 1220 ORFs for hypothetical proteins. Enzyme coding probability was searched in hypothetical proteins using web tools like CDD-BLAST, InterProScan, Pfam and COGs. Study sorted out 213 proteins as enzyme coding and for these proteins tertiary structures were predicted based on the homology modeling. About 89 structures were modeled for functional proteins and such a deciphered structure-function relationship could help in detail understanding of regulatory network of S. typhi and establishing new function in uncharacterized regions.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceIJBT Vol.11(2) [April 2012]en_US
dc.subjectCDD-BLASTen_US
dc.subjectCOGsen_US
dc.subjectFunction predictionen_US
dc.subjectHomology modelingen_US
dc.subjectHypothetical proteinsen_US
dc.subjectInterProScanen_US
dc.subjectPfamen_US
dc.subjectSalmonella typhien_US
dc.titleHomology modeling and enzyme function prediction in uncharacterized proteins of Salmonella typhi—An in silico approachen_US
dc.typeArticleen_US
Appears in Collections:IJBT Vol.11(2) [April 2012]

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