Recent Development of Bioinformatics Tools for microRNA Target
Prediction

Mst    Shamima    Khatun; Md Ashad      Alam; Watshara       Shoombuatong; Md    Nurul Haque    Mollah; Hiroyuki       Kurata; Md    Mehedi    Hasan
doi:10.2174/0929867328666210804090224
Abstract

MicroRNAs (miRNAs) are central players that regulate the post-transcriptional processes of gene expression. Binding of miRNAs to target mRNAs can repress their translation by inducing the degradation or by inhibiting the translation of the target mRNAs. Highthroughput experimental approaches for miRNA target identification are costly and timeconsuming, depending on various factors. It is vitally important to develop bioinformatics methods for accurately predicting miRNA targets. With the increase of RNA sequences in the post-genomic era, bioinformatics methods are being developed for miRNA studies especially for miRNA target prediction. This review summarizes the current development of state-of-the-art bioinformatics tools for miRNA target prediction, points out the progress and limitations of the available miRNA databases, and their working principles. Finally, we discuss the caveat and perspectives of the next-generation algorithms for the prediction of miRNA targets.
Keywords: microRNA, gene expression, NGS, target prediction, machine learning, bioinformatics tools.
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DOI https://dx.doi.org/10.2174/0929867328666210804090224	Print ISSN 0929-8673
Publisher Name Bentham Science Publisher	Online ISSN 1875-533X
Current Medicinal Chemistry

Recent Development of Bioinformatics Tools for microRNA Target Prediction

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