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BIND--The Biomolecular Interaction Network Database.

G D Bader1, I Donaldson, C Wolting

  • 1Department of Biochemistry, University of Toronto, Canada, Samuel Lunenfeld Research Institute, 600 University Avenue, Toronto M5G 1X5, Canada.

Nucleic Acids Research
|January 11, 2000
PubMed
Summary
This summary is machine-generated.

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The Biomolecular Interaction Network Database (BIND) stores comprehensive molecular interaction data. BIND 2.0 enhances this by including all molecular components and mechanisms for advanced data mining and pathway analysis.

Area of Science:

  • Biochemistry
  • Bioinformatics
  • Systems Biology

Background:

  • The Biomolecular Interaction Network Database (BIND) is a crucial resource for storing molecular interaction data.
  • Existing models required expansion to encompass the full spectrum of molecular mechanisms.

Purpose of the Study:

  • To introduce the BIND 2.0 data model, significantly expanding its scope.
  • To facilitate advanced data mining and analysis of molecular interactions and pathways.

Main Methods:

  • Development of a comprehensive data model (BIND 2.0) incorporating proteins, nucleic acids, and small molecules.
  • Abstraction of molecular mechanisms, including chemical reactions and conformational changes, for graph theory applications.
  • Data specification available in ASN.1 and XML DTD formats.

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Main Results:

  • BIND 2.0 now describes interactions between all molecular types and various mechanisms.
  • The database is structured for graph theory-based data mining and kinetic simulations.
  • Anticipates integration of high-throughput proteomics data, including post-translational modifications.

Conclusions:

  • BIND 2.0 provides a robust framework for understanding complex biomolecular networks.
  • The database is essential for researchers studying molecular mechanisms, pathways, and systems biology.
  • The open nature of the BIND project encourages community contribution and data expansion.