Got target?: computational methods for microRNA target prediction and their extension

  • Min, Hyeyoung
  • Yoon, Sungroh
Citations

WEB OF SCIENCE

148
Citations

SCOPUS

168

초록

MicroRNAs (miRNAs) are a class of small RNAs of 19-23 nucleotides that regulate gene expression through target mRNA degradation or translational gene silencing. The miRNAs are reported to be involved in many biological processes, and the discovery of miRNAs has been provided great impacts on computational biology as well as traditional biology. Most miRNA-associated computational methods comprise the prediction of miRNA genes and their targets, and increasing numbers of computational algorithms and web-based resources are being developed to fulfill the need of scientists performing miRNA research. Here we summarize the rules to predict miRNA targets and introduce some computational algorithms that have been developed for miRNA target prediction and the application of the methods. In addition, the issue of target gene validation in an experimental way will be discussed.

키워드

algorithmscomputational biologymicroRNAsRNA interferenceRNA, small interferingRNA-induced silencing complexFUNCTIONAL ANNOTATIONRNAIDENTIFICATIONEXPRESSIONDATABASEIMPACTSYSTEM
제목
Got target?: computational methods for microRNA target prediction and their extension
저자
Min, HyeyoungYoon, Sungroh
DOI
10.3858/emm.2010.42.4.032
발행일
2010-04-30
유형
Review
저널명
Experimental & Molecular Medicine
42
4
페이지
233 ~ 244