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  1. Title of the Paper : BIND: the Biomolecular Interaction Network Database (View at PubMed)
    Contributors : Bader, G. D.; Betel, D.; Hogue, C. W.
    Address : Department of Biochemistry, Samuel Lunenfeld Research Institute, University of Toronto, Toronto M5G 1X5, Canada.
    Publication Name : Nucleic Acids Res
    Volume : 31
    Issue : 1
    Pages : 248-50
    Publication Year : 2003
    ISSN : 1362-4962 (Electronic) 0305-1048 (Linking)
    Language : English
    Abstract : The Biomolecular Interaction Network Database (BIND: archives biomolecular interaction, complex and pathway information. A web-based system is available to query, view and submit records. BIND continues to grow with the addition of individual submissions as well as interaction data from the PDB and a number of large-scale interaction and complex mapping experiments using yeast two hybrid, mass spectrometry, genetic interactions and phage display. We have developed a new graphical analysis tool that provides users with a view of the domain composition of proteins in interaction and complex records to help relate functional domains to protein interactions. An interaction network clustering tool has also been developed to help focus on regions of interest. Continued input from users has helped further mature the BIND data specification, which now includes the ability to store detailed information about genetic interactions. The BIND data specification is available as ASN.1 and XML DTD.