基于深度学习的miRNA靶位点预测研究综述

MicroRNAs(miRNAs)是一类长约22～23碱基(nt)的单链非编码RNA,在生物进化方面有着重要意义.成熟的miRNA会通过其种子序列(5'第2-8位核苷酸)与message RNAs(mRNAs)的3'UTR区域靶位点进行完全或不完全配对,实现切割mRNA及抑制mRNA翻译等功能.由于miRNA结合mRN...

Survey on Target Site Prediction of Human miRNA Based on Deep Learning

MicroRNAs(miRNAs)are 22~23 nt small non-coding RNAs that play an important role in biological evolution.Mature miRNA will completely or incompletely pair with the target site in 3’UTR region of message RNAs(mRNAs)through its seed region,to achieve the function of cleavage and translational repression so on.As the mechanism of miRNA binding to mRNA target sites is still unclear,the prediction of miRNA target sites has been a major challenge and problem in the field of miRNA research.Although the experimental method is accurate,it is time-consuming and expensive.In Bioinformatics,although the calculation method based on rule matching can predict the target site,it has the problem of low accuracy.With the development of deep learning and the abundance of experimental data,the method based on deep learning has become a research hotspot in the field of miRNA target prediction.Firstly,this paper introduces the commonly used data sets,prediction types and common feature of miRNA prediction,then explains the commonly used deep learning model in prediction research.Next,the conventional prediction methods and prediction methods based on deep learning are introduced.Meanwhile,these methods are classified and summarized.Finally,the current problems and future development of using deep learning to predict miRNA target are discussed.