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Updated: Jul 28, 2026
08:01
A Web Tool for Generating High Quality Machine-readable Biological Pathways
Published on: February 8, 2017
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
Summary
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.
- 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.
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