Codon optimization of the potential antigens encoding genes from mycobacterium tuberculosis.
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Date
2010-08
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Abstract
Current 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.
Description
Keywords
Mycobacterium tuberculosis, codon bias, optimization, CAI, Vaccines.
Citation
Mani 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.