Computational methods for microRNA target prediction.

摘要: MicroRNAs (miRNAs) have been identified as one of the most important molecules that regulate gene expression in various organisms. miRNAs are short, 21–23 nucleotide-long, single stranded RNA bind to 3' untranslated regions (3' UTRs) their target mRNAs. In general, they silence genes via degradation mRNA or by translational repression. The miRNAs, on other hand, also varies different tissues based functions. It is significantly predict targets computational approaches understand effects regulation expression. Various methods generated for miRNA prediction but resulting lists candidate from algorithms often do not overlap. crucial adjust bioinformatics tools more accurate predictions it equally validate predicted experimentally.