Khatun M.S.Alam M.A.Shoombuatong W.Mollah M.N.H.Kurata H.Hasan M.M.Mahidol University2023-06-182023-06-182022-02-01Current Medicinal Chemistry Vol.29 No.5 (2022) , 865-88009298673https://repository.li.mahidol.ac.th/handle/20.500.14594/83826MicroRNAs (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.Biochemistry, Genetics and Molecular BiologyArticleSCOPUS10.2174/09298673286662108040902242-s2.0-851249117751875533X34348604