Computational Methods for MicroRNA Target Prediction

Yuka Watanabe, Masaru Tomita, Akio Kanai

研究成果: Chapter

95 被引用数 (Scopus)

抄録

The discovery of microRNAs (miRNAs) has introduced a new paradigm into gene regulatory systems. Large numbers of miRNAs have been identified in a wide range of species, and most of them are known to downregulate translation of messenger RNAs (mRNAs) via imperfect binding of the miRNA to a specific site or sites in the 3′ untranslated region (UTR) of the mRNA. Identification of genes targeted by miRNAs is widely believed to be an important step toward understanding the role of miRNAs in gene regulatory networks. As part of the effort to understand interactions between miRNAs and their targets, computational algorithms have been developed based on observed rules for features such as the degree of hybridization between the two RNA molecules. These in silico approaches provide important tools for miRNA target detection, and together with experimental validation, help to reveal regulated targets of miRNAs. Here, we summarize the knowledge that has been accumulated about the principles of target recognition by miRNAs and the currently available computational methodologies for prediction of miRNA target genes.

本文言語English
ホスト出版物のタイトルMicroRNA Methods
編集者John Rossi, Gregory Hannon
ページ65-86
ページ数22
DOI
出版ステータスPublished - 2007 12 1

出版物シリーズ

名前Methods in Enzymology
427
ISSN(印刷版)0076-6879

ASJC Scopus subject areas

  • 生化学
  • 分子生物学

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