DomSVR: Domain boundary prediction with support vector regression from sequence information alone

Amino Acids

Volumn 39, Issue 3, 2010, Pages 713-726

  Chen, Peng ^b   Liu, Chunmei ^a   Burge, Legand ^a   Li, Jinyan ^b   Mohammad, Mahmood ^a   Southerland, William ^a   Gloster, Clay ^c   Wang, Bing ^d  

^a HOWARD UNIVERSITY   (United States)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^c Howard University   (United States)

^d ANHUI UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

AAindex; Domain boundary prediction; Principal component analysis; Support vector regression

Indexed keywords

AMINO ACID; PROTEIN;

ACCURACY; ANALYTIC METHOD; ARTICLE; CONTROLLED STUDY; DOMSVR; INFORMATION PROCESSING; INTERMETHOD COMPARISON; PHYSICAL CHEMISTRY; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; PROTEIN DOMAIN; SENSITIVITY AND SPECIFICITY; SEQUENCE ANALYSIS; SEQUENCE DATABASE; SUPPORT VECTOR MACHINE; ANIMAL; CHEMISTRY; EVALUATION STUDY; HUMAN; PROCEDURES; PROTEIN DATABASE; PROTEIN TERTIARY STRUCTURE; REGRESSION ANALYSIS; SEQUENCE ALIGNMENT;

ANIMALS; DATABASES, PROTEIN; HUMANS; PROTEIN STRUCTURE, TERTIARY; PROTEINS; REGRESSION ANALYSIS; SEQUENCE ALIGNMENT;

EID: 77956938868     PISSN: 09394451     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00726-010-0506-6     Document Type: Article

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