Document Details

Document Type : Article In Journal 
Document Title :
iSuc-PseOpt: Identifying lysine succinylation sites in proteins by incorporating sequence-coupling effects into pseudo components and optimizing imbalanced training dataset
iSuc-PseOpt: Identifying lysine succinylation sites in proteins by incorporating sequence-coupling effects into pseudo components and optimizing imbalanced training dataset
 
Document Language : English 
Abstract : Succinylation is a posttranslational modification (PTM) where a succinyl group is added to a Lys (K) residue of a protein molecule. Lysine succinylation plays an important role in orchestrating various biological processes, but it is also associated with some diseases. Therefore, we are challenged by the following problem from both basic research and drug development: given an uncharacterized protein sequence containing many Lys residues, which one of them can be succinylated, and which one cannot? With the avalanche of protein sequences generated in the postgenomic age, the answer to the problem has become even more urgent. Fortunately, the statistical significance experimental data for succinylated sites in proteins have become available very recently, an indispensable prerequisite for developing a computational method to address this problem. By incorporating the sequence-coupling effects into the general pseudo amino acid composition and using KNNC (K-nearest neighbors cleaning) treatment and IHTS (inserting hypothetical training samples) treatment to optimize the training dataset, a predictor called iSuc-PseOpt has been developed. Rigorous cross-validations indicated that it remarkably outperformed the existing method. A user-friendly web-server for iSuc-PseOpt has been established at http://www.jci-bioinfo.cn/iSuc-PseOpt, where users can easily get their desired results without needing to go through the complicated mathematical equations involved. 
ISSN : 1096-0309 
Journal Name : Anal Biochem 
Volume : 497 
Issue Number : 1 
Publishing Year : 1437 AH
2016 AD 
Article Type : Article 
Added Date : Sunday, May 1, 2016 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
Jianhua JiaJia, Jianhua Investigator jjh163yx@163.com
Zi LiuLiu, Zi Researcher  
Xuan XiaoXiao, Xuan Researcher xxiao@gordonlifescience.org
Bingxiang LiuLiu, Bingxiang Researcher  
Kuo-Chen ChouChou, Kuo-Chen Researcher kcchou@gordonlifescience.org

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