%0 Journal Article
%T Review of Computational Prediction of Competing Endogenous RNA
%A Achuthsankar S. Nair
%A Sherin K
%J Open Journal of Immunology
%D 2019
%R 10.4172/0974-276X.1000493
%X MicroRNAs (miRNAs) are the gene regulatory molecules that bind to microRNA response elements (MREs) in the 3¡¯ untranslated regions (UTRs) of mRNAs. The repressive activity of miRNA is counteracted by ¡°miRNA sponges¡± or ¡°competing endogenous RNAs (ceRNAs)¡± termed because of its competing nature of sequestering miRNA¡¯s effect. The ceRNAs with multiple MREs for a miRNA interact more, resulting in a regulatory gene network layer. The perturbation of ceRNA network causes various diseases including cancer. This discovery has increased the analysis of ceRNA interactions, networks and dynamics. Currently, a number of ceRNA-ceRNA interaction analysis and prediction tools are available online. This review focuses on computational prediction of mRNA-mRNA pairs acting as ceRNAs and its significance in RNA therapeutics. The computational prediction tools are compared with respect to the input data retrieved, features considered and the prediction method.
%K Sherin K and Achuthsankar S. Nair
%K ceRNA
%K ceRNA prediction
%K Feature extraction
%K Feature selection
%K ceRNA networks
%U https://www.longdom.org/abstract/review-of-computational-prediction-of-competing-endogenous-rna-37504.html