Towards an automatic classification of protein structural domains based on structural similarity

BMC Bioinformatics

Volumn 9, Issue , 2008, Pages

  Sam, Vichetra ^a   Tai, Chin Hsien ^b   Garnier, Jean ^a,c   Gibrat, Jean Francois ^c   Lee, Byungkook ^b   Munson, Peter J ^a  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

^b NATIONAL CANCER INSTITUTE   (United States)

^c INRA Institut National de la Recherche Agronomique   (France)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC CLASSIFICATION; EVOLUTIONARY RELATIONSHIPS; FALSE POSITIVE RATES; HIER-ARCHICAL CLUSTERING; MANUAL CLASSIFICATION; PROTEIN CLASSIFICATION; SCOP CLASSIFICATIONS; STRUCTURAL SIMILARITY;

PROTEINS;

ARTICLE; AUTOMATION; CLASSIFICATION ALGORITHM; CLUSTER ANALYSIS; COMPUTER PROGRAM; CONTROLLED STUDY; GENETIC CONSERVATION; INTERMETHOD COMPARISON; MATHEMATICAL ANALYSIS; PHYLOGENETIC TREE; PROTEIN DOMAIN; PROTEIN STRUCTURE; SCORING SYSTEM; STRUCTURAL HOMOLOGY; ALGORITHM; AMINO ACID SEQUENCE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CHEMISTRY; METHODOLOGY; MOLECULAR GENETICS; PROTEIN TERTIARY STRUCTURE; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS; SEQUENCE HOMOLOGY;

PROTEIN;

ALGORITHMS; AMINO ACID SEQUENCE; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; MOLECULAR SEQUENCE DATA; PATTERN RECOGNITION, AUTOMATED; PROTEIN STRUCTURE, TERTIARY; PROTEINS; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS, PROTEIN; SEQUENCE HOMOLOGY, AMINO ACID;

EID: 40949146460     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-9-74     Document Type: Article

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