Designing of Short Interfering RNAS (siRNAs) for Tuberculosis
Devvret Verma1, Ajay Negi2, Kumud Pant3, Bhasker Pant4, Ashish Thapliyal5
1Devvret Verma*, Department of Biotechnology, Graphic Era Deemed to be University, Dehradun, India.
2Ajay Negi, Department of Biotechnology, Graphic Era Deemed to be University, Dehradun, India.
3Kumud Pant*, Department of Biotechnology, Graphic Era Deemed to be University, Dehradun, India.
4Bhaskar Pant, Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, India.
5Ashish Thapliyal, Department of Life Sciences, Graphic Era Deemed to be University, Dehradun, India.
Manuscript received on December 15, 2019. | Revised Manuscript received on December 20, 2019. | Manuscript published on January 10, 2020. | PP: 3022-3027 | Volume-9 Issue-3, January 2020. | Retrieval Number: C8043019320/2020©BEIESP | DOI: 10.35940/ijitee.C8043.019320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The control of Tuberculosis is an obstacle that many researchers have been trying to overcome from several decades, as it remains the cause of millions of deaths per year. Though there are several drugs available but due to drug resistance, there is an extensive need of new and effective ways of treatment. Computational study was performed to design siRNA for the genes atpG, dnaK and htpG as all these genes are important for the survival of bacterium Mycobacterium tuberculosis. Multiple sequence alignment was done using Mega X software on the coding sequences (cds) of studied Mtb strains, which were retrieved from the NCBI database. The i-score designer was used for designing of potent siRNA. The SMEpred webserver was used to validate the data collected from the i-score designer, which was further used to calculate the efficacy as well as to predict the chemically modified siRNA (cm-siRNA). Results show that the studied genes were conserved in all the studied strains. MFE was calculated using RNAfold server and sequences with the lowest MFE was selected, as they are proved to have higher stability. This result can be used to develop novel therapeutic applications.
Keywords: Tuberculosis, siRNA, SMEpred, i-score Designer, AtpG, DnaK, HtpG
Scope of the Article: Bio-Science and Bio-Technology