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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 |
Appears in Collections: | Scholarly Works - FacHScABS |
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Functional_microRNA_targets_in_protein_coding_sequences.pdf Restricted Access | 323.19 kB | Adobe PDF | View/Open Request a copy |
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