Incorporating Structural Characteristics for Identification of Protein Methylation Sites

NCU Institutional Repository > 資訊電機學院 > 資訊工程研究所 > 期刊論文 > Item 987654321/29124

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://ir.lib.ncu.edu.tw/handle/987654321/29124

题名:	Incorporating Structural Characteristics for Identification of Protein Methylation Sites
作者:	Shien,DM;Lee,TY;Chang,WC;Hsu,JBK;Horng,JT;Hsu,PC;Wang,TY;Huang,HD
贡献者:	資訊工程研究所
关键词:	HIDDEN MARKOV-MODELS;POSTTRANSLATIONAL MODIFICATIONS;PHOSPHORYLATION SITES;ENZYMATIC METHYLATION;HISTONE METHYLATION;PREDICTION;SEQUENCE;LYSINE;ACCESSIBILITY;DATABASE
日期:	2009
上传时间:	2010-06-29 20:14:17 (UTC+8)
出版者:	中央大學
摘要:	Studies over the last few years have identified protein methylation on histones and other proteins that are involved in the regulation of gene transcription. Several works have developed approaches to identify computationally the potential methylation sites on lysine and arginine. Studies of protein tertiary structure have demonstrated that the sites of protein methylation are preferentially in regions that are easily accessible. However, previous studies have not taken into account the solvent-accessible surface area (ASA) that surrounds the methylation sites. This work presents a method named MASA that combines the support vector machine with the sequence and structural characteristics of proteins to identify methylation sites on lysine, arginine, glutamate, and asparagine. Since most experimental methylation sites are not associated with corresponding protein tertiary structures in the Protein Data Bank, the effective solvent-accessible prediction tools have been adopted to determine the potential ASA values of amino acids in proteins. Evaluation of predictive performance by cross-validation indicates that the ASA values around the methylation sites can improve the accuracy of prediction. Additionally, an independent test reveals that the prediction accuracies for methylated lysine and arginine are 80.8 and 85.0%, respectively. Finally, the proposed method is implemented as an effective system for identifying protein methylation sites. The developed web server is freely available at http:/IMASA.mbc.nctu.edu.tw/. (C) 2009 Wiley Periodicals, Inc. J Comput Chem 30: 1532-1543, 2009
關聯:	JOURNAL OF COMPUTATIONAL CHEMISTRY
显示于类别:	[資訊工程研究所] 期刊論文

文件中的档案:

档案	描述	大小	格式	浏览次数
index.html		0Kb	HTML	538	检视/开启

在NCUIR中所有的数据项都受到原著作权保护.

社群 sharing

数据加载中.....