2014
DOI: 10.3389/fgene.2014.00023
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Common features of microRNA target prediction tools

Abstract: The human genome encodes for over 1800 microRNAs (miRNAs), which are short non-coding RNA molecules that function to regulate gene expression post-transcriptionally. Due to the potential for one miRNA to target multiple gene transcripts, miRNAs are recognized as a major mechanism to regulate gene expression and mRNA translation. Computational prediction of miRNA targets is a critical initial step in identifying miRNA:mRNA target interactions for experimental validation. The available tools for miRNA target pre… Show more

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Cited by 395 publications
(313 citation statements)
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“…Unfortunately, in the study of this interaction, little-grounded assumptions were made that led to significant errors in the determination of miRNA binding sites in mRNA and interpretation of the obtained results. Existing programs for identification of miRNA binding sites in mRNA of target genes, unfortunately, predict many false-positive sites (Peterson et al, 2014). To increase the reliability of the predicted binding sites, we have studied orthologous genes of different animal species (Atambayeva et al, 2017).…”
Section: молекулярная и клеточная биологияmentioning
confidence: 99%
See 1 more Smart Citation
“…Unfortunately, in the study of this interaction, little-grounded assumptions were made that led to significant errors in the determination of miRNA binding sites in mRNA and interpretation of the obtained results. Existing programs for identification of miRNA binding sites in mRNA of target genes, unfortunately, predict many false-positive sites (Peterson et al, 2014). To increase the reliability of the predicted binding sites, we have studied orthologous genes of different animal species (Atambayeva et al, 2017).…”
Section: молекулярная и клеточная биологияmentioning
confidence: 99%
“…Unfortunately, in the publications related to the subject only a few substantiated assumptions were made that led to significant errors in determining the binding sites of miRNA in mRNA and interpreting of the obtained results. Existing programs for detecting miRNA binding sites in the mRNA of target genes, unfortunately, predict many false-positive sites (Peterson et al, 2014). To search for the binding sites, we used the MirTarget program, determining the characteristics of miRNA-mRNA interaction, including the detection of multiple miRNA binding sites (Ivashchenko et al, 2014).…”
mentioning
confidence: 99%
“…These include Targetscan, miRanda, DIANAmicroT, PicTAR, whose predictions were integrated into the miRBase, the central annotation database for miRNAs (Kozomara and Griffiths-Jones, 2014) and were also repeatedly evaluated in benchmark studies Ding et al, 2012a;Majoros et al, 2013;Peterson et al, 2014;Xu et al, 2014a). We add to these also MIRZA as it is one of the most recent algorithms, which in many aspects outperforms the other ones (Gumienny and Zavolan, 2015).…”
Section: Common Target Prediction Toolsmentioning
confidence: 99%
“…The target genes of miR-let-7e were predicted based on three public bioinformatics databases, including miRanda (www.microrna.org/) and TargetScan Human Release 6.2 (www.targetscan.org/) (15). The target genes were selected by miRanda if the mirSVR score ≤-0.1 and by TargetScan if the total context score was ≤-0.1 as previously descried (16).…”
Section: Interleukin-13 (Il-13) Stimulation Of Necsmentioning
confidence: 99%