Better prediction of protein contact number using a support vector regression analysis of amino acid sequence

BMC Bioinformatics

Volumn 6, Issue , 2005, Pages

  Yuan, Zheng ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ACCESSIBLE SURFACE AREAS; AMINO ACID COMPOSITIONS; CORRELATION COEFFICIENT; MULTIPLE SEQUENCE ALIGNMENTS; PROTEIN TERTIARY STRUCTURES; STRUCTURE-FUNCTION RELATION; SUPPORT VECTOR REGRESSION (SVR); SUPPORT VECTOR REGRESSION ALGORITHMS;

AMINO ACIDS; FORECASTING; PROTEIN FOLDING; REGRESSION ANALYSIS; VECTORS;

PROTEINS;

AMINO ACID; PROTEIN;

ACCURACY; ALGORITHM; AMINO ACID SEQUENCE; ARTICLE; MATHEMATICAL COMPUTING; PROTEIN CONTACT NUMBER; PROTEIN DETERMINATION; PROTEIN FOLDING; PROTEIN FUNCTION; PROTEIN STRUCTURE; PROTEIN TERTIARY STRUCTURE; REGRESSION ANALYSIS; SEQUENCE ANALYSIS; STRUCTURAL BIOINFORMATICS; SUPPORT VECTOR MACHINE; CHEMICAL STRUCTURE; CHEMISTRY; CLASSIFICATION; PREDICTIVE VALUE; PROCEDURES; SEQUENCE ALIGNMENT; STATISTICAL MODEL; STRUCTURE ACTIVITY RELATION;

ALGORITHMS; AMINO ACID SEQUENCE; MODELS, MOLECULAR; MODELS, STATISTICAL; PREDICTIVE VALUE OF TESTS; PROTEIN FOLDING; PROTEINS; REGRESSION ANALYSIS; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS, PROTEIN; STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 27644490770     PISSN: 14712105     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-6-248     Document Type: Article

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