Codon optimization of the potential antigens encoding genes from mycobacterium tuberculosis.

Simple item page
dc.contributor.authorMani, Indra
dc.contributor.authorChaudhary, Dharmendra Kumar
dc.contributor.authorSomvanshi, Pallavi
dc.contributor.authorSingh, Vijai
dc.date.accessioned2015-06-01T11:27:44Z
dc.date.available2015-06-01T11:27:44Z
dc.date.issued2010-08
dc.description.abstractCurrent approach for controlling of tuberculosis is going on by recommended doses of vaccines. Codon optimization and simulation techniques are used to improve the protein expression in living organism by increasing their translational efficiency of gene of interest. We have designed; optimized the codon and simulated in nineteen indigenous genes of Mycobacterium tuberculosis H37Rv in the Escherichia coli. We minimized the G+C content in optimized genes from 64.75% to 59.67% of the studied genes as the richness of G+C content is reflected in a strong bias. CAI and AT of optimized DNA were enhanced by 1.9 (47.8%) and 1.1 (12.5%) fold more with respect to its native type. Our finding indicates the optimized genes can be useful for over expression in host and the study provides a new insight for the emerging research in synthetic biology.en_US
dc.identifier.citationMani Indra, Chaudhary Dharmendra Kumar, Somvanshi Pallavi, Singh Vijai. Codon optimization of the potential antigens encoding genes from mycobacterium tuberculosis. International Journal of Applied Biology and Pharmaceutical Technology. 2010 Aug-Oct; 1(2): 292-301.en_US
dc.identifier.issn0976-4550
dc.identifier.urihttps://imsear.searo.who.int/handle/123456789/158080
dc.language.isoenen_US
dc.source.urihttps://www.ijabpt.com/pdf/5212-Vijai%20singh.pdfen_US
dc.subjectMycobacterium tuberculosisen_US
dc.subjectcodon biasen_US
dc.subjectoptimizationen_US
dc.subjectCAIen_US
dc.subjectVaccines.en_US
dc.titleCodon optimization of the potential antigens encoding genes from mycobacterium tuberculosis.en_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
ijabpt2010v1n2p292.pdf
Size:
222.65 KB
Format:
Adobe Portable Document Format
Description:
Journal article
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
International Journal of Applied Biology and Pharmaceutical Technology