Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/117785
Title: Functional microRNA targets in protein coding sequences
Authors: Reczko, Martin
Maragkakis, Manolis
Alexiou, Panagiotis
Grosse, Ivo
Hatzigeorgiou, Artemis G.
Keywords: MicroRNA
Non-coding RNA
Deep learning (Machine learning)
RNA-protein interactions
Issue Date: 2012
Publisher: Oxford University Press
Citation: Reczko, M., Maragkakis, M., Alexiou, P., Grosse, I., & Hatzigeorgiou, A. G. (2012). Functional microRNA targets in protein coding sequences. Bioinformatics, 28(6), 771-776.
Abstract: Motivation: Experimental evidence has accumulated showing that microRNA (miRNA) binding sites within protein coding sequences (CDSs) are functional in controlling gene expression. Results: Here we report a computational analysis of such miRNA target sites, based on features extracted from existing mammalian high-throughput immunoprecipitation and sequencing data. The analysis is performed independently for the CDS and the 3′-untranslated regions (3′-UTRs) and reveals different sets of features and models for the two regions. The two models are combined into a novel computational model for miRNA target genes, DIANA-microT-CDS, which achieves higher sensitivity compared with other popular programs and the model that uses only the 3′-UTR target sites. Further analysis indicates that genes with shorter 3′-UTRs are preferentially targeted in the CDS, suggesting that evolutionary selection might favor additional sites on the CDS in cases where there is restricted space on the 3′-UTR.
URI: https://www.um.edu.mt/library/oar/handle/123456789/117785
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