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Related Experiment Videos

The Database of Interacting Proteins: 2004 update.

Lukasz Salwinski1, Christopher S Miller, Adam J Smith

  • 1Howard Hughes Medical Institute, UCLA-DOE Institute for Genomics and Proteomics, 90095-1570, USA.

Nucleic Acids Research
|December 19, 2003
PubMed
Summary

The Database of Interacting Proteins integrates experimental data on protein interactions. A quality assessment method identifies a reliable subset (CORE set) for evaluating high-throughput data and studying interaction networks.

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Area of Science:

  • Bioinformatics
  • Molecular Biology
  • Systems Biology

Background:

  • Protein-protein interactions are fundamental to cellular processes.
  • Experimental data on these interactions are diverse and vary in reliability.
  • A centralized, quality-assessed resource is needed for robust analysis.

Purpose of the Study:

  • To create a comprehensive online database of protein-protein interactions.
  • To develop and apply quality assessment methods to identify reliable interaction data.
  • To provide a reference set (CORE set) for evaluating and developing protein interaction analysis tools.

Main Methods:

  • Integration of diverse experimental evidence on protein-protein interactions.
  • Development and application of quality assessment methods for experimental data.

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  • Creation of a curated online database accessible via a web portal.

    • Main Results:

    • Established the Database of Interacting Proteins (DIP) as a unified resource.
    • Identified a high-confidence CORE set of protein interactions.
    • The CORE set serves as a benchmark for assessing interaction data reliability.

    Conclusions:

    • The DIP database provides a valuable, quality-controlled resource for protein interaction research.
    • The CORE set facilitates the evaluation of high-throughput data and the development of predictive models.
    • This integrated approach enhances the study of protein interaction networks and their properties.