InSite: A computational method for identifying protein-protein interaction binding sites on a proteome-wide scale

Genome Biology

Volumn 8, Issue 9, 2007, Pages

  Wang, Haidong ^a   Segal, Eran ^b   Ben Hur, Asa ^c   Li, Qian Ru ^d   Vidal, Marc ^d   Koller, Daphne ^a  

^a Stanford University   (United States)

^b WEIZMANN INSTITUTE OF SCIENCE   (Israel)

^c Colorado State University   (United States)

^d HARVARD MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACID SEQUENCE; ARTICLE; BINDING AFFINITY; BINDING SITE; COMPUTER PREDICTION; CONTROLLED STUDY; FUNCTIONAL PROTEOMICS; GENE MUTATION; GENETIC POLYMORPHISM; HIGH THROUGHPUT SCREENING; HUMAN; INTERACTION SITE; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NEOPLASM; NONHUMAN; PROTEIN DATABASE; PROTEIN PROTEIN INTERACTION; SEQUENCE ANALYSIS; ALGORITHM; BIOLOGY; COMPUTER PROGRAM; GENE EXPRESSION PROFILING; INFORMATION PROCESSING; METABOLISM; METHODOLOGY; PROTEIN ANALYSIS; PROTEIN BINDING; PROTEOMICS; SACCHAROMYCES CEREVISIAE; TWO HYBRID SYSTEM;

PROTEOME;

ALGORITHMS; AUTOMATIC DATA PROCESSING; COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; GENE EXPRESSION PROFILING; HUMANS; POLYMORPHISM, GENETIC; PROTEIN BINDING; PROTEIN INTERACTION MAPPING; PROTEOME; PROTEOMICS; SACCHAROMYCES CEREVISIAE; SOFTWARE; TWO-HYBRID SYSTEM TECHNIQUES;

EID: 41849115573     PISSN: 14747596     EISSN: 1474760X     Source Type: Journal    
DOI: 10.1186/gb-2007-8-9-r192     Document Type: Article

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