Cavity-aware motifs reduce false positives in protein function prediction.

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

Volumn , Issue , 2006, Pages 311-323

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

^a Rice University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CARBON;

ALGORITHM; ANIMAL; ARTICLE; BIOLOGY; CHEMICAL STRUCTURE; CHEMISTRY; COMPUTER SIMULATION; CONFORMATION; LABORATORY DIAGNOSIS; METHODOLOGY; PROTEIN CONFORMATION; PROTEIN DATABASE; PROTEIN MOTIF; PROTEOMICS; REPRODUCIBILITY; STATISTICAL MODEL; THEORETICAL MODEL;

ALGORITHMS; AMINO ACID MOTIFS; ANIMALS; CARBON; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; DATABASES, PROTEIN; FALSE POSITIVE REACTIONS; MODELS, MOLECULAR; MODELS, STATISTICAL; MODELS, THEORETICAL; MOLECULAR CONFORMATION; PROTEIN CONFORMATION; PROTEOMICS; REPRODUCIBILITY OF RESULTS;

MLCS; MLOWN;

EID: 34250860664     PISSN: 17527791     EISSN: None     Source Type: Journal    
DOI: 10.1142/9781860947575_0037     Document Type: Article

References (0)