PPUS: a web server to predict PUS-specific pseudouridine sites
PPUS: a web server to predict PUS-specific pseudouridine sites
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PPUS：预测 PUS 特异性假尿苷位点的网络服务器
DOI：
10.1093/bioinformatics/btv366
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发表时间：
2015-10-15
期刊：
影响因子：
5.8
通讯作者：
Cui, Qinghua
中科院分区：
文献类型：
--
作者：
Li, Yan-Hui;Zhang, Gaigai;Cui, Qinghua
研究动机：假尿苷合成酶（PUS）催化的假尿苷（W）是最丰富的RNA修饰，具有重要的细胞功能。开发一种识别W位点的算法是一项重要的工作。如果算法能够指定哪些PUS修改W站点，则效果更好。在这里，我们开发了PSUS（http：//lyh.pkmu.cn/ppus/），这是第一个预测PUS特定W站点的Web服务器。PSUS采用支持向量机作为分类器，并使用W位点周围的核苷酸作为特征。目前，PSUS可以准确预测酵母中PUS 1、PUS 4和PUS 7以及人类中PUS 4的新W位点。PPUS设计良好，对用户友好。
Motivation: Pseudouridine (W), catalyzed by pseudouridine synthase (PUS), is the most abundant RNA modification and has important cellular functions. Developing an algorithm to identify W sites is an important work. And it is better if the algorithm could assign which PUS modifies the W sites. Here, we developed PPUS (http://lyh.pkmu.cn/ppus/), the first web server to predict PUS-specific W sites. PPUS employed support vector machine as the classifier and used nucleotides around W sites as the features. Currently, PPUS could accurately predict new W sites for PUS1, PUS4 and PUS7 in yeast and PUS4 in human. PPUS is well designed and friendly to user.