Recent Development of Bioinformatics Tools for microRNA Target Prediction
1
Issued Date
2022-02-01
Resource Type
ISSN
09298673
eISSN
1875533X
Scopus ID
2-s2.0-85124911775
Pubmed ID
34348604
Journal Title
Current Medicinal Chemistry
Volume
29
Issue
5
Start Page
865
End Page
880
Rights Holder(s)
SCOPUS
Bibliographic Citation
Current Medicinal Chemistry Vol.29 No.5 (2022) , 865-880
Suggested Citation
Khatun M.S., Alam M.A., Shoombuatong W., Mollah M.N.H., Kurata H., Hasan M.M. Recent Development of Bioinformatics Tools for microRNA Target Prediction. Current Medicinal Chemistry Vol.29 No.5 (2022) , 865-880. 880. doi:10.2174/0929867328666210804090224 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/83826
Title
Recent Development of Bioinformatics Tools for microRNA Target Prediction
Other Contributor(s)
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. High-throughput experimental approaches for miRNA target identification are costly and time-consuming, 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 espe-cially 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 dis-cuss the caveat and perspectives of the next-generation algorithms for the prediction of miRNA targets.