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Related Experiment Videos

DIP: the database of interacting proteins.

I Xenarios1, D W Rice, L Salwinski

  • 1UCLA-DOE Laboratory of Structural Biology, Molecular Biology Institute, UCLA, Los Angeles, CA 90095-1570, USA.

Nucleic Acids Research
|December 11, 1999
PubMed
Summary
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The Database of Interacting Proteins (DIP) is a comprehensive resource documenting experimentally determined protein-protein interactions. It serves as a vital tool for researchers studying interaction networks, protein function, and evolutionary relationships.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Bioinformatics

Background:

  • Protein-protein interactions (PPIs) are fundamental to virtually all biological processes.
  • Understanding PPIs is crucial for deciphering cellular mechanisms and disease pathways.
  • Existing resources for PPI data require comprehensive integration and efficient access.

Purpose of the Study:

  • To present the Database of Interacting Proteins (DIP) as a centralized repository for experimentally validated protein-protein interactions.
  • To provide researchers with an integrated tool for exploring protein interaction networks.
  • To facilitate research in protein function, network properties, and evolutionary studies of interactions.

Main Methods:

  • Curated collection of experimentally determined protein-protein interaction data.

Related Experiment Videos

  • Integration of information from various sources into a unified database structure.
  • Development of a user-friendly interface for data browsing and retrieval.

    • Main Results:

    • The DIP provides a comprehensive catalog of documented protein-protein interactions.
    • The database enables efficient extraction of interaction data and network information.
    • It serves as a valuable resource for diverse research applications, including functional analysis and network modeling.

    Conclusions:

    • The DIP is an essential resource for the scientific community studying protein interactions.
    • It supports advancements in understanding biological systems through network analysis.
    • The database facilitates benchmarking and evolutionary studies of protein-protein interaction networks.