PIPE: A protein-protein interaction prediction engine based on the re-occurring short polypeptide sequences between known interacting protein pairs

BMC Bioinformatics

Volumn 7, Issue , 2006, Pages

  Pitre, Sylvain ^a   Dehne, Frank ^a   Chan, Albert ^b   Cheetham, Jim ^a   Duong, Alex ^a   Emili, Andrew ^c   Gebbia, Marinella ^c   Greenblatt, Jack ^c   Jessulat, Mathew ^a   Krogan, Nevan ^c   Luo, Xuemei ^a   Golshani, Ashkan ^a  

^a CARLETON UNIVERSITY   (Canada)

^b FAYETTEVILLE STATE UNIVERSITY   (United States)

^c UNIVERSITY OF TORONTO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BIOCHEMICAL TECHNIQUES; IDENTIFICATION OF PROTEINS; INTERNAL ARCHITECTURE; PROTEIN INTERACTION; PROTEIN-PROTEIN INTERACTIONS; SECONDARY COMPONENTS; TANDEM AFFINITY PURIFICATION; YEAST SACCHAROMYCES CEREVISIAE;

ENGINES; FORECASTING; GENES; YEAST;

PROTEINS;

POLYPEPTIDE; SACCHAROMYCES CEREVISIAE PROTEIN; PEPTIDE; PROTEIN;

ACCURACY; AMINO ACID SEQUENCE; ARTICLE; BIOINFORMATICS; CHEMICAL ANALYSIS; COMPUTER SYSTEM; CONTROLLED STUDY; GENE DELETION; GENE IDENTIFICATION; NONHUMAN; PREDICTION; PROTEIN ANALYSIS; PROTEIN PROTEIN INTERACTION; PROTEIN PURIFICATION; PROTEIN STRUCTURE; SACCHAROMYCES CEREVISIAE; SENSITIVITY AND SPECIFICITY; SEQUENCE ANALYSIS; SIGNAL TRANSDUCTION; STRUCTURE ANALYSIS; ALGORITHM; BIOLOGY; CHEMISTRY; COMPUTER PROGRAM; GENETICS; METABOLISM; MOLECULAR GENETICS; NUCLEOTIDE SEQUENCE; PROCEDURES; PROTEOMICS; TWO HYBRID SYSTEM;

SACCHAROMYCES CEREVISIAE;

ALGORITHMS; BASE SEQUENCE; COMPUTATIONAL BIOLOGY; MOLECULAR SEQUENCE DATA; PEPTIDES; PROTEIN INTERACTION MAPPING; PROTEINS; PROTEOMICS; SACCHAROMYCES CEREVISIAE; SACCHAROMYCES CEREVISIAE PROTEINS; SENSITIVITY AND SPECIFICITY; SOFTWARE; TWO-HYBRID SYSTEM TECHNIQUES;

EID: 33748135657     PISSN: 14712105     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-7-365     Document Type: Article

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