PPUS: a web server to predict PUS-specific pseudouridine sites | Zendy

Yanhui Li | Zendy; Gaigai Zhang | Zendy; Qinghua Cui | Zendy

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PPUS: a web server to predict PUS-specific pseudouridine sites

Author(s) -

Yanhui Li,

Gaigai Zhang,

Qinghua Cui

Publication year - 2015

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btv366

Subject(s) - pseudouridine , web server , computer science , web site , web service , world wide web , the internet , computational biology , rna , bioinformatics , biology , biochemistry , transfer rna , gene

Pseudouridine (Ψ), catalyzed by pseudouridine synthase (PUS), is the most abundant RNA modification and has important cellular functions. Developing an algorithm to identify Ψ sites is an important work. And it is better if the algorithm could assign which PUS modifies the Ψ sites. Here, we developed PPUS (http://lyh.pkmu.cn/ppus/), the first web server to predict PUS-specific Ψ sites. PPUS: employed support vector machine as the classifier and used nucleotides around Ψ sites as the features. Currently, PPUS: could accurately predict new Ψ sites for PUS1, PUS4 and PUS7 in yeast and PUS4 in human. PPUS: is well designed and friendly to user.

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