Document Details

Document Type : Article In Journal 
Document Title :
pSumo-CD: predicting sumoylation sites in proteins with covariance discriminant algorithm by incorporating sequence-coupled effects into general PseAAC
pSumo-CD: predicting sumoylation sites in proteins with covariance discriminant algorithm by incorporating sequence-coupled effects into general PseAAC
 
Document Language : English 
Abstract : Motivation: Sumoylation is a posttranslational modification (PTM) process, in which small ubiquitin-related modifier (SUMO) is attaching by covalent bonds to substrate protein. It is critical to many different biological processes such as replicating genome, expressing gene, localizing and stabilizing proteins; unfortunately, it is also involved with many major disorders including Alzheimer’s and Parkinson’s diseases. Therefore, for both basic research and drug development, it is important to identify the sumoylation sites in proteins. Results: To address such a problem, we developed a predictor called pSumo-CD by incorporating the sequence-coupled information into the general pseudo amino acid composition (PseAAC) and introducing the covariance discriminant (CD) algorithm, in which a bias-adjustment term, which has the function to automatically adjust the errors caused by the bias due to the imbalance of training data, had been incorporated. Rigorous cross-validations indicated that the new predictor remarkably outperformed the existing state-of-the-art prediction method for the same purpose. Availability: For the convenience of most experimental scientists, a user-friendly web-server for pSumo-CD has been established at http://www.jci-bioinfo.cn/pSumo-CD, by which users can easily obtain their desired results without the need to go through the complicated mathematical equations involved. 
ISSN : 1460-2059 
Journal Name : Bioinformatics 
Volume : 32 
Issue Number : 20 
Publishing Year : 1437 AH
2016 AD 
Article Type : Article 
Added Date : Wednesday, July 12, 2017 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
Jianhua JiaJia, Jianhua ResearcherDoctorate 
Liuxia ZhangZhang, Liuxia ResearcherDoctorate 
Zi LiuLiu, Zi ResearcherDoctorate 
Xuan XiaoXiao, Xuan ResearcherDoctorate 
Kuo-Chen ChouChou, Kuo-Chen ResearcherDoctorate 

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