Lysine acetylation sites prediction using an ensemble of support vector machine classifiers

doi:10.1016/j.jtbi.2010.01.013

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	Lysine acetylation sites prediction using an ensemble of support vector machine classifiers
	Xu, Yan 1,2; Wang, Xiao-Bo 1; Ding, Jun 2; Wu, Ling-Yun3 ; Deng, Nai-Yang 1
	2010-05-07
发表期刊	JOURNAL OF THEORETICAL BIOLOGY
ISSN	0022-5193
卷号	264 期号:1 页码:130-135
摘要	Lysine acetylation is an essentially reversible and high regulated post-translational modification which regulates diverse protein properties. Experimental identification of acetylation sites is laborious and expensive. Hence, there is significant interest in the development of computational methods for reliable prediction of acetylation sites from amino acid sequences. In this paper we use an ensemble of support vector machine classifiers to perform this work. The experimentally determined acetylation lysine sites are extracted from Swiss-Prot database and scientific literatures. Experiment results show that an ensemble of support vector machine classifiers outperforms single support vector machine classifier and other computational methods such as PAIL and LysAcet on the problem of predicting acetylation lysine sites. The resulting method has been implemented in EnsemblePail, a web server for lysine acetylation sites prediction available at http://www.aporc.org/EnsemblePail/. (C) 2010 Elsevier Ltd. All rights reserved.
关键词	Bioinformatics Acetylated proteins Ensemble SVM PWMs EnsemblePail
DOI	10.1016/j.jtbi.2010.01.013
语种	英语
资助项目	Key Project of the National Natural Science Foundation of China[10631070] ; National Natural Science Foundation of China[10971223]
WOS研究方向	Life Sciences & Biomedicine - Other Topics ; Mathematical & Computational Biology
WOS类目	Biology ; Mathematical & Computational Biology
WOS记录号	WOS:000275966500015
出版者	ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/10440
专题	应用数学研究所
通讯作者	Deng, Nai-Yang
作者单位	1.China Agr Univ, Coll Sci, Beijing 100083, Peoples R China 2.Univ Sci & Technol Beijing, Dept Math, Beijing 100083, Peoples R China 3.Chinese Acad Sci, Inst Appl Math, Acad Math & Syst Sci, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Xu, Yan,Wang, Xiao-Bo,Ding, Jun,et al. Lysine acetylation sites prediction using an ensemble of support vector machine classifiers[J]. JOURNAL OF THEORETICAL BIOLOGY,2010,264(1):130-135.
APA	Xu, Yan,Wang, Xiao-Bo,Ding, Jun,Wu, Ling-Yun,&Deng, Nai-Yang.(2010).Lysine acetylation sites prediction using an ensemble of support vector machine classifiers.JOURNAL OF THEORETICAL BIOLOGY,264(1),130-135.
MLA	Xu, Yan,et al."Lysine acetylation sites prediction using an ensemble of support vector machine classifiers".JOURNAL OF THEORETICAL BIOLOGY 264.1(2010):130-135.