pSumo-CD: predicting sumoylation sites in proteins with covariance discriminant algorithm by incorporating sequence-coupled effects into general PseAAC | Zendy

Jianhua Jia | Zendy; Liuxia Zhang | Zendy; Zi Liu | Zendy; Xuan Xiao | Zendy; KuoChen Chou | Zendy

Open Access

pSumo-CD: predicting sumoylation sites in proteins with covariance discriminant algorithm by incorporating sequence-coupled effects into general PseAAC

Author(s) -

Jianhua Jia,

Liuxia Zhang,

Zi Liu,

Xuan Xiao,

KuoChen Chou

Publication year - 2016

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btw387

Subject(s) - pseudo amino acid composition , sumo protein , covariance , computer science , discriminant , protein sequencing , sequence (biology) , posttranslational modification , algorithm , drug discovery , artificial intelligence , computational biology , machine learning , biology , peptide sequence , amino acid , bioinformatics , mathematics , gene , biochemistry , statistics , ubiquitin , dipeptide , enzyme

Sumoylation is a post-translational 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.

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