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The Biomolecular Interaction Network Database and related tools 2005 update.

C Alfarano1, C E Andrade, K Anthony

  • 1The Blueprint Initiative of Mount Sinai Hospital, 600 University Avenue, Toronto, ON, Canada M5G 1X5.

Nucleic Acids Research
|December 21, 2004
PubMed

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Summary
This summary is machine-generated.

The Biomolecular Interaction Network Database (BIND) archives experimental biomolecular interaction data. It provides tools for analyzing molecular interaction networks and discovering binding sites, supporting global research accessibility.

Area of Science:

  • Bioinformatics
  • Molecular Biology
  • Computational Biology

Background:

  • Molecular interactions, reactions, complexes, and pathways are fundamental to biological processes.
  • Access to curated, experimental data on these interactions is crucial for understanding cellular mechanisms.
  • Existing databases often lack comprehensive, machine-readable formats for computational analysis.

Purpose of the Study:

  • To establish and maintain a comprehensive archive of biomolecular interaction data derived from published research.
  • To provide researchers with tools for data analysis, visualization, and discovery of molecular interaction networks.
  • To facilitate the study of molecular mechanisms through accessible and computable information.

Main Methods:

  • Curating data on molecular interactions, reactions, complexes, and pathways from experimental research.

Related Experiment Videos

  • Developing machine-readable formats for comprehensive data archiving.
  • Implementing new visualization methods to enhance the annotation of genes and proteins.
  • Providing query and submission interfaces, and a Standard Object Access Protocol (SOAP) service.

    • Main Results:

    • The Biomolecular Interaction Network Database (BIND) has grown to contain over 100,000 records.
    • BIND offers a freely accessible, open-access repository of curated biomolecular interaction data.
    • New services include enhanced query/submission interfaces and the Small Molecule Interaction Database (SMID).

    Conclusions:

    • BIND serves as a vital resource for researchers studying molecular interaction networks.
    • The database facilitates the discovery of molecular mechanisms and potential small molecule binding sites.
    • Continued open data policies and service development support advancements in systems biology and drug discovery.