iRNA-Methyl: Identifying N6-methyladenosine sites using pseudo nucleotide composition

被引:326
|
作者
Chen, Wei [1 ,2 ]
Feng, Pengmian [3 ]
Ding, Hui [3 ]
Lin, Hao [2 ,4 ]
Chou, Kuo-Chen [2 ,5 ]
机构
[1] North China Univ Sci & Technol, Sch Sci, Dept Phys, Ctr Genom & Computat Biol, Tangshan 063009, Peoples R China
[2] Gordon Life Sci Inst, Belmont, MA 02478 USA
[3] North China Univ Sci & Technol, Sch Publ Hlth, Tangshan 063000, Peoples R China
[4] Univ Elect Sci & Technol China, Sch Life Sci & Technol, Ctr Bioinformat & Ctr Informat Biomed, Key Lab Neuroinformat Minist Educ, Chengdu 610054, Peoples R China
[5] King Abdulaziz Univ, CEGMR, Jeddah 21589, Saudi Arabia
基金
中国国家自然科学基金;
关键词
RNA methylation; Pseudo dinucleotide composition: PseKNC; Global sequence pattern; Flexible scaled window; AMINO-ACID-COMPOSITION; SEQUENCE-BASED PREDICTOR; PROTEIN SUBCELLULAR LOCATION; LABEL LEARNING CLASSIFIER; SUPPORT VECTOR MACHINE; CHOUS GENERAL PSEAAC; MESSENGER-RNA; PHYSICOCHEMICAL PROPERTIES; TRINUCLEOTIDE COMPOSITION; NUCLEAR-RNA;
D O I
10.1016/j.ab.2015.08.021
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Occurring at adenine (A) with the consensus motif GAC, N-6-methyladenosine (m(6)A) is one of the most abundant modifications in RNA, which plays very important roles in many biological processes. The nonuniform distribution of m(6)A sites across the genome implies that, for better understanding the regulatory mechanism of m(6)A, it is indispensable to characterize its sites in a genome-wide scope. Although a series of experimental technologies have been developed in this regard, they are both time-consuming and expensive. With the avalanche of RNA sequences generated in the postgenomic age, it is highly desired to develop computational methods to timely identify their m(6)A sites. In view of this, a predictor called "iRNA-Methyl" is proposed by formulating RNA sequences with the "pseudo dinucleotide composition" into which three RNA physiochemical properties were incorporated. Rigorous cross-validation tests have indicated that iRNA-Methyl holds very high potential to become a useful tool for genome analysis. For the convenience of most experimental scientists, a web-server for iRNA-Methyl has been established at http://lin.uestc.edu.cniserverfiRNA-Methyl by which users can easily get their desired results without needing to go through the mathematical details. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码:26 / 33
页数:8
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