Clustering of phosphorylation site recognition motifs can be exploited to predict the targets of cyclin-dependent kinase

Genome Biology

Volumn 8, Issue 2, 2007, Pages

  Moses, Alan M ^a   Hériché, Jean Karim ^a   Durbin, Richard ^a  

^a WELLCOME TRUST SANGER INSTITUTE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CYCLIN DEPENDENT KINASE; PROTEIN;

AMINO ACID SEQUENCE; ARTICLE; CELL CYCLE; ENZYME PHOSPHORYLATION; GENE CONTROL; HUMAN; NONHUMAN; PHENOTYPE; PREDICTION; PROTEIN MOTIF; SACCHAROMYCES CEREVISIAE; SIGNAL TRANSDUCTION; STATISTICAL MODEL; BIOLOGICAL MODEL; BIOLOGY; GENETICS; METABOLISM; METHODOLOGY; PHOSPHORYLATION; PROTEOMICS; YEAST;

AMINO ACID MOTIFS; COMPUTATIONAL BIOLOGY; CYCLIN-DEPENDENT KINASES; HUMANS; MODELS, GENETIC; PHOSPHORYLATION; PROTEINS; PROTEOMICS; YEASTS;

EID: 34447527882     PISSN: 14747596     EISSN: 1474760X     Source Type: Journal    
DOI: 10.1186/gb-2007-8-2-r23     Document Type: Article

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