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  1. I2D (View Publication)
    Full Name of the Resource : Interologous Interaction Database: Predicted protein-protein interactions in humans
    Resource Category : Databases -> Metabolic and Signaling Pathways -> Protein-Protein Interactions

    Brief Description : High-throughput experiments are being performed at an ever-increasing rate to systematically elucidate protein-protein interaction (PPI) networks for model organisms, while similar experiments for human networks have lagged far behind. The Online Predicted Human Interaction Database (OPHID) is a web-based database of predicted interactions between human proteins. It combines the literature-derived human PPIs from BIND, HPRD and MINT, with predictions made from Saccharomyces cerevisiae, Caenorhabditis elegans, Drosophila melanogaster and Mus musculus. The 23,889 predicted interactions currently listed in OPHID are evaluated using protein domains, gene co-expression and Gene Ontology terms. OPHID can be queried using single IDs or batch queries, and using multiple supported ID types. The results can be displayed as text, HTML, or visualized using our custom graph visualization program. In addition, the entire database is available for download in tab-delimited text or PSI-compliant XML format.

    Institute/s :
    Ontario Cancer Institute, Toronto Medical Discoveries Tower, Life Sciences Discovery Centre, 101 College Street, Toronto, Ontario M5G 1L7
    Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
    Department of Computer Science, University of Toronto, Toronto, Ontario, Canada

    Country : Canada

    Associated Institutes :

    • Division of Cancer Informatics, Ontario Cancer Institute, University of Toronto Toronto, Ontario, Canada
    • Department of Medical Biophysics, University of Toronto Toronto, Ontario, Canada
    • Department of Computer Science, University of Toronto Toronto, Ontario, Canada

    Associated Country : Canada


    Authors/Contributors : Jurisica I.
    Contact Email : juris@ai.utoronto.ca
    Year : 2005
    Language : English

    Keywords : Artificial Intelligence; *Natural Language Processing; Pattern Recognition, Automated / *methods; *Periodicals as Topic; Protein Interaction Mapping / *methods; Proteins / *metabolism; *PubMed; *Semantics