Analysis of substructural variation in families of enzymatic proteins with applications to protein function prediction

BMC Bioinformatics

Volumn 11, Issue , 2010, Pages

  Bryant, Drew H ^a   Moll, Mark ^a   Chen, Brian Y ^b   Fofanov, Viacheslav Y ^a   Kavraki, Lydia E ^a,c  

^a Rice University   (United States)

^b Och Spine at New York Presbyterian Hospitals   (United States)

^c BAYLOR COLLEGE OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATED ASSESSMENT; CONVERGENT EVOLUTION; IDENTIFICATION METHOD; PROTEIN FUNCTION PREDICTION; STATISTICAL HYPOTHESIS; STRUCTURAL VARIABILITY; STRUCTURAL VARIATIONS; STRUCTURE-FUNCTION RELATIONSHIP;

BINDING SITES; BIOLOGY; CHEMICAL ANALYSIS; STRUCTURAL ANALYSIS;

PROTEINS;

ENZYME; PROTEIN;

ARTICLE; BINDING SITE; CHEMICAL STRUCTURE; CHEMISTRY; METABOLISM; METHODOLOGY; PROTEIN CONFORMATION; PROTEIN DATABASE; PROTEIN FOLDING; PROTEIN MOTIF; PROTEOMICS; SEQUENCE ANALYSIS;

AMINO ACID MOTIFS; BINDING SITES; DATABASES, PROTEIN; ENZYMES; MODELS, MOLECULAR; PROTEIN CONFORMATION; PROTEIN FOLDING; PROTEINS; PROTEOMICS; SEQUENCE ANALYSIS, PROTEIN;

EID: 77951971437     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-11-242     Document Type: Article

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