Computational prediction and identification of miRNAs in ssRNA viruses

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Padmashree, D. and Ramachandra Swamy, N. (2014) Computational prediction and identification of miRNAs in ssRNA viruses. Journal of Advanced Bioinformatics Applications, 5 (1). pp. 37-50. ISSN 0976-2604

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Abstract

MiRNAs are conserved endogenous small non-​coding RNA mols. play a very important role in posttranscriptional regulation of gene by binding to mRNA.miRNAs have been identified in plants, animals, invertebrates and even in viruses. Recent studies have proved that as like DNA viruses even cytoplasmic RNA viruses encodes miRNA by noncanonical pathway.To find the miRNAs encoded by both (+) ssRNA and (-​) ssRNA viruses, we used computational tool VMir to screen the complete genomes of selected RNA viruses. The predicted precursor miRNA hairpin structures obtained from VMir were further analyzed in miPred to identify real and pseudo miRNA. The real miRNAs analyzed in blastx program to exclude protein coding sequences and then finally identified mature miRNAs by using matureBayes.In our studies we analyzed 45 viral genomes, finally we obsd. that more miRNAs encoded by (-​) ssRNA than the (+) ssRNA.

Item Type: Article
Uncontrolled Keywords: miRNAs, ssRNA viruses and computational tool.
Subjects: Faculty of Science > Environmental and Biological Sciences > Biochemistry
Divisions: Jnana Bharathi / Central College Campus > Department of Biochemistry
Depositing User: Ms. Sathyavathi N
Date Deposited: 24 Aug 2016 06:36
Last Modified: 01 Sep 2016 10:52
URI: http://eprints-bangaloreuniversity.in/id/eprint/4847

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