miRDB: an online database for prediction of functional microRNA targets

被引：2083

作者：

Chen, Yuhao ^{[1
,2
]}

Wang, Xiaowei ^{[1
]}

机构：

[1] Washington Univ, Sch Med, Dept Radiat Oncol, St Louis, MO 63130 USA

[2] Washington Univ, Dept Elect & Syst Engn, St Louis, MO 63110 USA

来源：

NUCLEIC ACIDS RESEARCH | 2020年 / 48卷 / D1期

基金：

美国国家卫生研究院;

关键词：

D O I：

10.1093/nar/gkz757

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

MicroRNAs (miRNAs) are small noncoding RNAs that act as master regulators in many biological processes. miRNAs function mainly by downregulating the expression of their gene targets. Thus, accurate prediction of miRNA targets is critical for characterization of miRNA functions. To this end, we have developed an online database, miRDB, for miRNA target prediction and functional annotations. Recently, we have performed major updates for miRDB. Specifically, by employing an improved algorithm for miRNA target prediction, we now present updated transcriptome-wide target prediction data in miRDB, including 3.5 million predicted targets regulated by 7000 miRNAs in five species. Further, we have implemented the new prediction algorithm into a web server, allowing custom target prediction with user-provided sequences. Another new database feature is the prediction of cell-specific miRNA targets. miRDB now hosts the expression profiles of over 1000 cell lines and presents target prediction data that are tailored for specific cell models. At last, a new web query interface has been added to miRDB for prediction of miRNA functions by integrative analysis of target prediction and Gene Ontology data.

引用

页码：D127 / D131

页数：5

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