alexa Computational Prediction of microRNAs and their Targets
ISSN: 0974-276X

Journal of Proteomics & Bioinformatics
Open Access

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Review Article

Computational Prediction of microRNAs and their Targets

Salim A and Vinod Chandra S S*

Department of Computer Centre, University of Kerala, Thiruvananthapuram, India

*Corresponding Author:
Vinod Chandra SS
Department of Computer Science
College of Engineering Trivandrum, India
Tel: 914712305801
E-mail: [email protected]

Received Date: May 10, 2014; Accepted Date: June 26, 2014; Published Date: July 05, 2014

Citation: Salim A, Vinod Chandra SS (2014) Computational Prediction of microRNAs and their Targets. J Proteomics Bioinform 7: 193-202. doi: 10.4172/jpb.1000320

Copyright: © 2014 Salim A, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited



microRNAs (miRNAs) are small single stranded RNAs, having an average length of 22 nucleotides. microRNAs are generated from endogenous hairpinshaped transcripts through post-transcriptional activity. They are found in diverse organisms and play critical roles in gene expression regulations of many essential cellular processes. Different computational methods are currently available for identifying microRNA genes in the genomes of different species, and predict exactly the functional part of the microRNA gene, namely the mature microRNA. The mature microRNA makes base pairing with mRNA, where complementarities exist between them and thus regulate gene expression. This article presents a brief description of microRNA related databases, different approaches for prediction and target gene identification. The methods employed, characteristics, and species addressed in each of publicly available tools are analyzed.


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