Using pseudo amino acid composition to predict protein structural classes: Approached with complexity measure factor

Journal of Computational Chemistry

Volumn 27, Issue 4, 2006, Pages 478-482

  Xiao, Xuan ^a,b   Shao, Shi Huang ^a   Huang, Zheng D E ^a   Chou, Kuo Chen ^a,c  

^a DONGHUA UNIVERSITY   (China)

^b JINGDEZHEN CERAMIC INSTITUTE   (China)

^c GORDON LIFE SCIENCE INSTITUTE   (United States)

Author keywords

Complexity measure factor; Covariant discriminant algorithm; Invariance theorem; Pseudo amino acid composition

Indexed keywords

COMPLEXITY MEASURE FACTOR; ENZYME FAMILY CLASS; G-PROTEIN COUPLE RECEPTOR; JACKKNIFE CROSSVALIDATION TEST; MEMBRANE PROTEIN TYPE; PREDICTION QUALITY; PROTEIN STRUCTURAL CLASSES; PSEUDO AMINO ACID COMPOSITION; SUBCELLULAR LOCALIZATION;

AMINO ACIDS; COMPOSITION; ENZYMES; STRUCTURAL ANALYSIS;

PROTEINS;

AMINO ACID; PROTEIN;

ALGORITHM; AMINO ACID SEQUENCE; ARTICLE; CHEMISTRY; CLASSIFICATION; PROTEIN FOLDING; PROTEIN SECONDARY STRUCTURE; PROTEIN TERTIARY STRUCTURE;

ALGORITHMS; AMINO ACID SEQUENCE; AMINO ACIDS; PROTEIN FOLDING; PROTEIN STRUCTURE, SECONDARY; PROTEIN STRUCTURE, TERTIARY; PROTEINS;

EID: 33644889341     PISSN: 01928651     EISSN: 1096987X     Source Type: Journal    
DOI: 10.1002/jcc.20354     Document Type: Article

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