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Protein interaction databases.

I Xenarios1, D Eisenberg

  • 1UCLA-DOE Laboratory of Structural Biology & Molecular Medicine, University of California, Los Angeles, PO Box 951570, Los Angeles, CA 90095-1570, USA. ixenario@mbi.ucla.edu

Current Opinion in Biotechnology
|September 12, 2001
PubMed
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Analyzing protein interactions is crucial for understanding life. New databases help document, categorize, and analyze these interactions and their cellular functions, aiding biological research.

Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • Protein interactions are fundamental to cellular processes and life itself.
  • The completion of the human genome sequence necessitates advanced tools for analyzing protein interactions.
  • Existing resources for protein interaction data require comprehensive documentation and categorization.

Purpose of the Study:

  • To highlight the need for a dedicated tool for analyzing protein interactions.
  • To introduce compiled databases that serve as resources for protein interaction analysis.
  • To describe the functionalities of these databases in documenting, categorizing, and analyzing protein interactions and their cellular roles.

Main Methods:

  • Compilation of databases documenting protein interactions.

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  • Categorization of interacting proteins based on various criteria.
  • Analysis of protein interactions and their associated cellular functions.

    • Main Results:

    • Databases now exist to systematically document and categorize protein interactions.
    • These databases facilitate the analysis of how proteins interact within cellular contexts.
    • The cellular functions of documented protein interactions are being elucidated.

    Conclusions:

    • The development and utilization of protein interaction databases are essential for advancing biological research.
    • These databases provide a critical resource for understanding the complexities of protein networks.
    • Further analysis of interaction data will deepen our understanding of cellular mechanisms and disease.