Identification of DNA-binding proteins by incorporating evolutionary information into pseudo amino acid composition via the top-n-gram approach

Journal of Biomolecular Structure and Dynamics

Volumn 33, Issue 8, 2015, Pages 1720-1730

  Xu, Ruifeng ^a,b   Zhou, Jiyun ^a   Liu, Bin ^a,b,c,d   He, Yulan ^e   Zou, Quan ^f   Wang, Xiaolong ^a,b   Chou, Kuo Chen ^d,g  

^a Shenzhen University Town   (China)

^b HARBIN INSTITUTE OF TECHNOLOGY   (China)

^c Shanghai Key Laboratory of Intelligent Information Processing   (China)

^d GORDON LIFE SCIENCE INSTITUTE   (United States)

^e ASTON UNIVERSITY   (United Kingdom)

^f XIAMEN UNIVERSITY   (China)

^g KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

Author keywords

Chou's pseudo amino acid composition; DNA binding proteins; evolutionary information; top n gram SVM

Indexed keywords

DNA BINDING PROTEIN; AMINO ACID;

ACCURACY; AMINO ACID COMPOSITION; ARTICLE; CONTROLLED STUDY; INTERMETHOD COMPARISON; JACKKNIFE TEST; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; PREDICTION; PRIORITY JOURNAL; PROTEIN ANALYSIS; SEQUENCE ANALYSIS; SUPPORT VECTOR MACHINE; TOP 2 GRAM ANALYSIS; VALIDATION PROCESS; ALGORITHM; CHEMISTRY; GENETICS; METABOLISM; MOLECULAR EVOLUTION; THEORETICAL MODEL;

ALGORITHMS; AMINO ACIDS; DNA-BINDING PROTEINS; EVOLUTION, MOLECULAR; MODELS, THEORETICAL;

EID: 84930573967     PISSN: 07391102     EISSN: 15380254     Source Type: Journal    
DOI: 10.1080/07391102.2014.968624     Document Type: Article

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