Literature DB >> 26076723

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

Yan-Hui Li1, Gaigai Zhang2, Qinghua Cui3.   

Abstract

MOTIVATION: 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.
AVAILABILITY AND IMPLEMENTATION: Our web server is available freely for non-commercial purposes at: http://lyh.pkmu.cn/ppus/ CONTACT: liyanhui@bjmu.edu.cn or cuiqinghua@hsc.pku.edu.cn.
© The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

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Year:  2015        PMID: 26076723     DOI: 10.1093/bioinformatics/btv366

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  23 in total

1.  XG-PseU: an eXtreme Gradient Boosting based method for identifying pseudouridine sites.

Authors:  Kewei Liu; Wei Chen; Hao Lin
Journal:  Mol Genet Genomics       Date:  2019-08-07       Impact factor: 3.291

2.  SRAMP: prediction of mammalian N6-methyladenosine (m6A) sites based on sequence-derived features.

Authors:  Yuan Zhou; Pan Zeng; Yan-Hui Li; Ziding Zhang; Qinghua Cui
Journal:  Nucleic Acids Res       Date:  2016-02-20       Impact factor: 16.971

3.  Penguin: A tool for predicting pseudouridine sites in direct RNA nanopore sequencing data.

Authors:  Doaa Hassan; Daniel Acevedo; Swapna Vidhur Daulatabad; Quoseena Mir; Sarath Chandra Janga
Journal:  Methods       Date:  2022-02-16       Impact factor: 4.647

4.  iRNA-PseU: Identifying RNA pseudouridine sites.

Authors:  Wei Chen; Hua Tang; Jing Ye; Hao Lin; Kuo-Chen Chou
Journal:  Mol Ther Nucleic Acids       Date:  2016

5.  Network-based characterization and prediction of human DNA repair genes and pathways.

Authors:  Yan-Hui Li; Gai-Gai Zhang
Journal:  Sci Rep       Date:  2017-04-03       Impact factor: 4.379

Review 6.  Recent Advances in Identification of RNA Modifications.

Authors:  Wei Chen; Hao Lin
Journal:  Noncoding RNA       Date:  2016-12-28

Review 7.  A Census and Categorization Method of Epitranscriptomic Marks.

Authors:  Julia Mathlin; Loredana Le Pera; Teresa Colombo
Journal:  Int J Mol Sci       Date:  2020-06-30       Impact factor: 5.923

Review 8.  Epigenetics: Roles and therapeutic implications of non-coding RNA modifications in human cancers.

Authors:  Dawei Rong; Guangshun Sun; Fan Wu; Ye Cheng; Guoqiang Sun; Wei Jiang; Xiao Li; Yi Zhong; Liangliang Wu; Chuanyong Zhang; Weiwei Tang; Xuehao Wang
Journal:  Mol Ther Nucleic Acids       Date:  2021-05-01       Impact factor: 8.886

9.  Porpoise: a new approach for accurate prediction of RNA pseudouridine sites.

Authors:  Fuyi Li; Xudong Guo; Peipei Jin; Jinxiang Chen; Dongxu Xiang; Jiangning Song; Lachlan J M Coin
Journal:  Brief Bioinform       Date:  2021-11-05       Impact factor: 13.994

10.  Towards understanding the lifespan extension by reduced insulin signaling: bioinformatics analysis of DAF-16/FOXO direct targets in Caenorhabditis elegans.

Authors:  Yan-Hui Li; Gai-Gai Zhang
Journal:  Oncotarget       Date:  2016-04-12
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