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Automatic annotation of BIND molecular interactions from three-dimensional structures.

J J Salama1, I Donaldson, C W Hogue

  • 1Department of Informatics, MDS Proteomics Inc., 251 Atwell Drive, Toronto, Ontario, M9W 7H4.

Biopolymers
|May 3, 2002
PubMed
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New software automates the extraction of molecular interactions from 3D structures, creating detailed Biomolecular Interaction Network Database (BIND) records. This enhances the BIND database with 3D structural information for biopolymers and small molecules.

Area of Science:

  • Structural biology
  • Bioinformatics
  • Computational chemistry

Background:

  • Extracting and annotating molecular interactions from 3D structures is crucial for understanding biological processes.
  • Existing databases may lack comprehensive 3D interaction details.
  • Automating this process can improve data accuracy and accessibility.

Purpose of the Study:

  • To develop and implement software for automating the extraction and annotation of molecular interactions from 3D structures.
  • To integrate this information into the Biomolecular Interaction Network Database (BIND).
  • To create new, validated divisions within BIND for 3D biopolymer and small molecule interactions.

Main Methods:

  • Developed software to extract pairwise molecular interactions from 3D structures.

Related Experiment Videos

  • Utilized MMDBind tool for comprehensive annotation, including atom-atom and residue-residue interactions.
  • Integrated data from Molecular Modeling Database (MMDB) and HET group dictionary (mmCIF).
  • Validated interactions using the Protein Quaternary Structure (PQS) system to remove redundant or irrelevant data.

    • Main Results:

    • Created two new BIND divisions: 3D Biopolymers (BIND-3DBP) with 16,737 records and 3D Small Molecules (BIND-3DSM) with 48,219 records.
    • Removed 18,166 interactions post-PQS validation.
    • Enabled visualization of interacting residues and nucleotides directly from BIND using Cn3D.
    • Demonstrated BIND's capability as a comprehensive storage and exchange format for diverse molecular interactions.

    Conclusions:

    • The developed software and MMDBind tool successfully automate the extraction and annotation of 3D molecular interactions.
    • The new BIND divisions enhance the database's utility for structural biology research.
    • BIND's data specification is robust for storing and exchanging various molecular interaction types.
    • Data is available for download and interactive query, facilitating further research.