Protein disorder prediction by condensed PSSM considering propensity for order or disorder

BMC Bioinformatics

Volumn 7, Issue , 2006, Pages

  Su, Chung Tsai ^a   Chen, Chien Yu ^a   Ou, Yu Yen ^b  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^b YUAN ZE UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

DISORDER PREDICTIONS; EVOLUTIONARY INFORMATION; HYBRID FEATURE SELECTIONS; HYDROPHOBIC AMINO ACIDS; MACHINE LEARNING TECHNIQUES; PHYSICOCHEMICAL PROPERTY; POSITION SPECIFIC SCORING MATRIX; RADIAL BASIS FUNCTION NETWORKS (RBFN);

AMINO ACIDS; LEARNING SYSTEMS; PROTEINS; RADIAL BASIS FUNCTION NETWORKS;

FORECASTING;

AMINO ACID; PROTEIN;

ACCURACY; AMINO ACID ANALYSIS; AMINO ACID COMPOSITION; AMINO ACID SEQUENCE; ARTICLE; COMPUTER PROGRAM; CONTROLLED STUDY; HYDROPHOBICITY; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; PHYSICAL CHEMISTRY; PREDICTION; PROBABILITY; PROTEIN DEFECT; PROTEIN FUNCTION; PROTEIN STRUCTURE; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY; SEQUENCE ANALYSIS; UNIVARIATE ANALYSIS; CHEMICAL STRUCTURE; CHEMISTRY; CLUSTER ANALYSIS; COMPARATIVE STUDY; COMPUTER SIMULATION; MOLECULAR GENETICS; PROTEIN DATABASE;

AMINO ACID SEQUENCE; CLUSTER ANALYSIS; COMPUTER SIMULATION; DATABASES, PROTEIN; MODELS, MOLECULAR; MOLECULAR SEQUENCE DATA; PROTEINS; SEQUENCE ANALYSIS, PROTEIN; SOFTWARE;

EID: 33746952996     PISSN: 14712105     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-7-319     Document Type: Article

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