A new computational approach to analyze human protein complexes and predict novel protein interactions

Genome Biology

Volumn 8, Issue 12, 2007, Pages

  Zanivan, Sara ^a,b   Cascone, Ilaria ^a,c   Peyron, Chiara ^d   Molineris, Ivan ^d   Marchio, Serena ^a   Caselle, Michele ^d   Bussolino, Federico ^a  

^a UNIVERSITY OF TURIN   (Italy)

^b MAX PLANCK INSTITUTE OF BIOCHEMISTRY   (Germany)

^c INSTITUT CURIE   (France)

^d UNIVERSITY OF TURIN   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ALPHA TUBULIN; EARLY ENDOSOME ANTIGEN 1; P21 ACTIVATED KINASE 1; P21 ACTIVATED KINASE; PAK1 PROTEIN, HUMAN; PROTEIN; UNCLASSIFIED DRUG;

ANIMAL CELL; ARTICLE; CONTROLLED STUDY; GENE EXPRESSION; GEOMETRY; HELA CELL; HUMAN; HUMAN CELL; IN VITRO STUDY; INTERMETHOD COMPARISON; MONTE CARLO METHOD; MOUSE; NONHUMAN; PREDICTION; PROTEIN ANALYSIS; PROTEIN EXPRESSION; PROTEIN INTERACTION; PROTEIN MICROARRAY; SENSITIVITY ANALYSIS; VALIDATION PROCESS; BIOLOGICAL MODEL; BIOLOGY; COMPUTER PROGRAM; GENE EXPRESSION REGULATION; GENETICS; METABOLISM; METHODOLOGY; PROTEIN DATABASE; SENSITIVITY AND SPECIFICITY;

COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; GENE EXPRESSION REGULATION; HELA CELLS; HUMANS; MODELS, GENETIC; MONTE CARLO METHOD; P21-ACTIVATED KINASES; PROTEINS; SENSITIVITY AND SPECIFICITY; SOFTWARE;

EID: 40449093587     PISSN: 14747596     EISSN: 1474760X     Source Type: Journal    
DOI: 10.1186/gb-2007-8-12-r256     Document Type: Article

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