Composite motifs integrating multiple protein structures increase sensitivity for function prediction.

Computational systems bioinformatics / Life Sciences Society. Computational Systems Bioinformatics Conference

Volumn 6, Issue , 2007, Pages 343-355

  Chen, Brian Y ^a   Bryant, Drew H ^a   Cruess, Amanda E ^a   Bylund, Joseph H ^a   Fofanov, Viacheslav Y ^a   Kristensen, David M ^a   Kimmel, Marek ^a   Lichtarge, Olivier ^a   Kavraki, Lydia E ^a  

^a Rice University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MULTIPROTEIN COMPLEX; PROTEIN;

ARTICLE; BINDING SITE; CHEMICAL MODEL; CHEMICAL STRUCTURE; CHEMISTRY; COMPUTER SIMULATION; METABOLISM; METHODOLOGY; PROTEIN BINDING; PROTEIN CONFORMATION; PROTEIN FOLDING; PROTEIN MOTIF; SEQUENCE ANALYSIS; SURFACE PROPERTY; ULTRASTRUCTURE;

AMINO ACID MOTIFS; BINDING SITES; COMPUTER SIMULATION; MODELS, CHEMICAL; MODELS, MOLECULAR; MULTIPROTEIN COMPLEXES; PROTEIN BINDING; PROTEIN CONFORMATION; PROTEIN FOLDING; PROTEINS; SEQUENCE ANALYSIS, PROTEIN; SURFACE PROPERTIES;

EID: 38449083700     PISSN: 17527791     EISSN: None     Source Type: Journal    
DOI: 10.1142/9781860948732_0035     Document Type: Article

References (0)