Inferring potential microRNA-microRNA associations based on targeting propensity and connectivity in the context of protein interaction network.

ABSTRACT: MicroRNAs (miRNAs) are a group of small non-coding RNAs that play important regulatory roles at the post-transcriptional level. Although several computational methods have been developed to compare miRNAs, it is still a challenging and a badly needed task with the availability of various biological data resources. In this study, we proposed a novel graph theoretic property based computational framework and method, called miRFunSim, for quantifying the associations between miRNAs based on miRNAs targeting propensity and proteins connectivity in the integrated protein-protein interaction network. To evaluate the performance of our method, we applied the miRFunSim method to compute functional similarity scores of miRNA pairs between 100 miRNAs whose target genes have been experimentally suppo

SUBMITTER: Sun J 

PROVIDER: S-EPMC3713046 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature