title: Computational methods to identify miRNA targets.
abstract: MicroRNAs (miRNAs) are short RNA molecules that regulate the post-transcriptional expression of their target genes. This regulation may take the form of stable translational or degradation of the target transcript, although the mechanisms governing the outcome of miRNA-mediated regulation remain largely unknown. While it is becoming clear that miRNAs are core components of gene regulatory networks, elucidating precise roles for each miRNA within these networks will require an accurate means of identifying target genes and assessing the impact of miRNAs on individual targets. Numerous computational methods for predicting targets are currently available. These methods vary widely in their emphasis, accuracy, and ease of use for researchers. This review will focus on a comparison of the available computational methods in animals, with an emphasis on approaches that are informed by experimental analysis of microRNA:target complexes.
authors.affiliation: Program in Molecular Medicine, University of Massachusetts Medical School, 373 Plantation Street, Biotech II, Suite 306, Worcester, MA 01605, USA. molly.hammell@umassmed.edu
authors.forename: Molly
authors.initials: M
authors.lastname: Hammell
mesh_terms: D000818:Animals; D019295:Computational Biology / Q000379:methods*; D006801:Humans; D035683:MicroRNAs / Q000302:isolation & purification*; D016601:RNA-Binding Proteins / Q000378:metabolism; D034743:RNA-Induced Silencing Complex / Q000378:metabolism
chemical_list: D035683:MicroRNAs; D016601:RNA-Binding Proteins; D034743:RNA-Induced Silencing Complex