Using pseudo amino acid composition and binary-tree support vector machines to predict protein structural classes

Amino Acids

Volumn 33, Issue 4, 2007, Pages 623-629

  Zhang, T L ^a   Ding, Y S ^a  

^a DONGHUA UNIVERSITY   (China)

Author keywords

Binary tree support vector machines; Correlation of amino acid; Hydrophobic amino acid couple; Protein structure classes; Pseudo amino acid composition

Indexed keywords

AMINO ACID; PROTEIN;

ALGORITHM; AMINO ACID COMPOSITION; ARTICLE; PERFORMANCE; PREDICTION; PRIORITY JOURNAL; PROTEIN STRUCTURE;

ALGORITHMS; AMINO ACIDS; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; MODELS, MOLECULAR; PATTERN RECOGNITION, AUTOMATED; PROTEIN CONFORMATION; PROTEINS; SEQUENCE ANALYSIS, PROTEIN;

EID: 36448935288     PISSN: 09394451     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00726-007-0496-1     Document Type: Article

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