Àá½Ã¸¸ ±â´Ù·Á ÁÖ¼¼¿ä. ·ÎµùÁßÀÔ´Ï´Ù.
KMID : 0578320230460010021
Molecules and Cells
2023 Volume.46 No. 1 p.21 ~ p.32
Determinants of Functional MicroRNA Targeting
Hwang Hyeon-Seo

Chang Hee-Ryung
Baek Dae-Hyun
Abstract
MicroRNAs (miRNAs) play cardinal roles in regulating biological pathways and processes, resulting in significant physiological effects. To understand the complex regulatory network of miRNAs, previous studies have utilized massivescale datasets of miRNA targeting and attempted to computationally predict the functional targets of miRNAs. Many miRNA target prediction tools have been developed and are widely used by scientists from various fields of biology and medicine. Most of these tools consider seed pairing between miRNAs and their mRNA targets and additionally consider other determinants to improve prediction accuracy. However, these tools exhibit limited prediction accuracy and high false positive rates. The utilization of additional determinants, such as RNA modifications and RNA-binding protein binding sites, may further improve miRNA target prediction. In this review, we discuss the determinants of functional miRNA targeting that are currently used in miRNA target prediction and the potentially predictive but unappreciated determinants that may improve prediction accuracy.
KEYWORD
bioinformatics, microRNA, microRNA target prediction, microRNA targeting, microRNA targeting determinants
FullTexts / Linksout information
Listed journal information
SCI(E) MEDLINE ÇмúÁøÈïÀç´Ü(KCI)