Computational Prediction of miRNA in Gmelina Arborea and their Role in Human Metabolomics

Abstract

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