MicroRNA Detection and Target Prediction: Integration of Computational and Experimental Approaches
IR@IICB: CSIR-Indian Institute of Chemical Biology, KolkataView Archive Info
MicroRNA Detection and Target Prediction: Integration
of Computational and Experimental Approaches
Molecular & Human Genetics
In recent years, microRNAs (miRNAs), a class of 19–25 nucleotides noncoding RNAs, have been shown to play
a major role in gene regulation across a broad range of metazoans and are important for a diverse biological
functions. These miRNAs are involved in the regulation of protein expression primarily by binding to one or
more target sites on an mRNA transcript and causing cleavage or repression of translation. Computer-based
approaches for miRNA gene identification and miRNA target prediction are being considered as indispensable
in miRNA research. Similarly, effective experimental techniques validating in silico predictions are crucial to
the testing and finetuning of computational algorithms. Iterative interactions between in silico and experimental
methods are now playing a central role in the biology of miRNAs. In this review, we summarize the
various computational methods for identification of miRNAs and their targets as well as the technologies that
have been developed to validate the predictions.
Chaudhuri, Keya and Chatterjee, Raghunath (2007) MicroRNA Detection and Target Prediction: Integration of Computational and Experimental Approaches. DNA and Cell Biology, 26 (5). pp. 321-337.