Computational Prediction of miRNA in Gmelina Arborea and their Role in Human Metabolomics
American Journal of Bioscience and Bioengineering
Volume 1, Issue 5, October 2013, Pages: 62-74
Received: Aug. 26, 2013;
Published: Sep. 30, 2013
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Alka Dubey, Department of Zoology, Bioinformatics infrastructure facility centre (DBT), Ministry of Science and Technology (Govt. of India), D.G (PG) College civil lines Kanpur, INDIA
Swinderjeet Singh Kalra, Department of Chemistry, D.A-V, College Kanpur INDIA
Nandita Trivedi, Department of Biotechnology, CSJM University, Kanpur INDIA
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Micro RNA are the noncoding class of RNA which plays major role post transcriptional regulation of genes and 19-22 nt in length and endogenous in nature .In this study miRNA Gmelina arborea are predicted along with possible target genes , A total of 44 ESTs are taken from dbEST database and proceed and trimmed through EGassembler. This contig sequence was now used to find out the putative miRNA by performing a local alignment with miRNA of Arabidopsis thaliana retrieved from miRBase. The targets were scanned by hybridizing screened ESTs with the UTRs of human using DIANA tar software. Finally 6 putative miRNAs were found to hybridize with the various targets of signal transduction and apoptosis that play significant role in preventing disease like cancer, blood borne disease, and other urinary infections and various study indicated that is possesses antioxidants, diuretic, anthelmintic activity, cardio protective, anti diabetic, immunomodulatory, antipyretic and analgesic, antimicrobial in the treatment of jaundice, piles bases on their targets
Gmelina Arborea, miRNA, Dbest, DIANA, Local Alignment
To cite this article
Swinderjeet Singh Kalra,
Computational Prediction of miRNA in Gmelina Arborea and their Role in Human Metabolomics, American Journal of Bioscience and Bioengineering.
Vol. 1, No. 5,
2013, pp. 62-74.
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