Skip to main content
. 2013 Apr 15;14(4):8179–8187. doi: 10.3390/ijms14048179

Table 1.

Summary of prediction techniques for miRNA target recognition.

Method Feature References Availability
TargetScan(S) Database of microRNA targets conserved in 5 vertebrates. [7,19] http://genes.mit.edu/tscan/targetscanS2005.html
miRanda Optimizes sequence complementarity based on position-specific rules and interspecies conservation. [23,32,39] http://www.microrna.org
RNA-hybrid Determines the most favourable hybridization site between two sequences. [8,40] http://bibiserv.techfak.uni-bielefeld.de/rnahybrid
PicTar (including doRiNA) Provides details about 3′ UTR alignments with predicted sites, and links to various public databases. [1317] http://pictar.mdc-berlin.de
TargetBoost Learns the hidden rules of miRNA-target site hybridization based on machine learning. [31] http://www.interagon.com/demo
PITA Investigates the role of target-site accessibility, as determined by base-pairing interactions within the mRNA. [11] http://genie.weizmann.ac.il/pubs/mir07/index.html
ElMMo Infers miRNA targets using evolutionary conservation and pathway analysis. [22] http://www.mirz.unibas.ch/ElMMo2/
Singh’s Predicts and characterizes 45 miRNAs by genome-wide homology search against all the reported miRNAs. [41] http://www.cdfd.org.in/lmg/PDF/imb816.pdf
mirWIP Employs structural accessibility of target sequences, the total free energy of microRNA:target hybridization, and the topology of base-pairing to the 5 seed region of the microRNA. [29] http://ambroslab.org
microCOSM Targets Web resource containing computationally predicted targets for microRNAs across many species. [33] http://www.ebi.ac.uk/enright-srv/microcosm/htdocs/targets/v5/
DIANA-microT 3.0 Individually calculate several parameters for each microRNA and combines conserved and non-conserved microRNA recognition elements into a final prediction score. [27,34] http://www.microrna.gr/microT
starBase Database with intersections among targets by five predictive softwares. [36] http://starbase.sysu.edu.cn/clipSeqIntersection.php
InMiR Uses a linear-Gaussian model, and provides a dataset of 1,935 predicted mRNA targets for 22 intronic miRNAs. [12] http://www.plosone.org
miRTar Identifies the biological functions and regulatory relationships between a group of known/putative miRNAs and protein coding genes. [38] http://mirtar.mbc.nctu.edu.tw/human/