生物信息学
核糖核酸
计算生物学
Web服务器
计算机科学
鉴定(生物学)
生物
基因
遗传学
数据挖掘
生物信息学
万维网
植物
互联网
作者
Jie Jiang,Bowen Song,Kunqi Chen,Zhi-Liang Lu,Rong Rong,Yu Zhong,Jia Meng
出处
期刊:Methods
[Elsevier BV]
日期:2021-02-03
卷期号:203: 328-334
被引量:17
标识
DOI:10.1016/j.ymeth.2021.01.007
摘要
N6,2'-O-dimethyladenosine (m6Am) is a reversible modification widely occurred on varied RNA molecules. The biological function of m6Am is yet to be known though recent studies have revealed its influences in cellular mRNA fate. Precise identification of m6Am sites on RNA is vital for the understanding of its biological functions. We present here m6AmPred, the first web server for in silico identification of m6Am sites from the primary sequences of RNA. Built upon the eXtreme Gradient Boosting with Dart algorithm (XgbDart) and EIIP-PseEIIP encoding scheme, m6AmPred achieved promising prediction performance with the AUCs greater than 0.954 when tested by 10-fold cross-validation and independent testing datasets. To critically test and validate the performance of m6AmPred, the experimentally verified m6Am sites from two data sources were cross-validated. The m6AmPred web server is freely accessible at: https://www.xjtlu.edu.cn/biologicalsciences/m6am, and it should make a useful tool for the researchers who are interested in N6,2'-O-dimethyladenosine RNA modification.
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