Prediction of lysine malonylation sites based on pseudo amino acid

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作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Xiang, Qilin;Feng, Kaiyan;Liao, Bo;Liu, Yuewu;Huang, Guohua*

通讯作者：

Huang, Guohua

作者机构：

[Liao, Bo; Huang, Guohua; Xiang, Qilin] Hunan Univ, Coll Comp Sci & Elect Engn, Changsha, Hunan, Peoples R China.

[Huang, Guohua] Shaoyang Univ, Hunan Prov Key Lab Informat Serv Rural Southweste, Shaoyang, Peoples R China.

[Huang, Guohua] Shaoyang Univ, Dept Informat Engn, Shaoyang, Hunan, Peoples R China.

[Feng, Kaiyan] Guangdong AIB Polytech, Dept Comp Sci, Guangzhou, Guangdong, Peoples R China.

[Liu, Yuewu] Hunan Agr Univ, Coll Sci, Changsha, Hunan, Peoples R China.

通讯机构：

[Huang, Guohua] H

Hunan Univ, Coll Comp Sci & Elect Engn, Changsha, Hunan, Peoples R China.

语种：

英文

关键词：

Protein post-translational modification;lysine malonylation;support vector machine;pseudo amino acid composition;leave-one-out test;dataset.

期刊：

COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING

ISSN：

1386-2073

年：

2017

卷：

期：

页码：

622-628

DOI：

10.2174/1386207320666170314102647

基金类别：

National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61672356]; Hunan Natural Science FoundationNatural Science Foundation of Hunan Province [2017JJ2239]; Scientific Research Fund of Hunan Provincial Education DepartmentHunan Provincial Education Department [15B216, 15B115]; Science and Technology Program of Hunan [2015JC3099]

机构署名：

本校为其他机构

院系归属：

理学院

摘要：

Aim and Objective: Protein malonylation is a newly discovered post-translational modification. Malonylation is known to closely be associated with type 2 diabetes and to play its regulatory role in fatty acid oxidation and the associated genetic disease. Identifying protein malonylations might lay a solid foundation to explore malonylation function. Due to the limitations of experimental techniques, it is a great challenge to fast and accurately identify malonylation sites. Methods: We proposed a computational method to predict malonylation sites and to analyze malonylation pattern. We firstly...

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Prediction of lysine malonylation sites based on pseudo amino acid

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