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Kabat Database and its applications: future directions.

G Johnson1, T T Wu

  • 1Departments of Biochemistry, Molecular Biology and Cell Biology, and Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA. johnson@immuno.bme.nwu.edu

Nucleic Acids Research
|January 11, 2000
PubMed
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The Kabat Database, established in 1970, provides aligned antibody sequences to understand protein structure and function. It now includes diverse immunological sequences and analytical methods for ongoing research.

Area of Science:

  • Immunoinformatics
  • Structural Biology
  • Bioinformatics

Background:

  • The Kabat Database originated in 1970 to map antibody combining sites using amino acid sequences.
  • Delineation of complementarity determining regions (CDRs) in antibody chains demonstrated sequence alignment's utility for deriving structural and functional data.
  • This foundational work enabled the creation of artificial antibodies and advanced numerous other research areas.

Purpose of the Study:

  • To describe the evolution and current scope of the Kabat Database.
  • To highlight the development of advanced analytical methods for sequence data within the database.
  • To showcase the ongoing utility and accessibility of the Kabat Database for immunological research.

Main Methods:

  • Utilizing sequence alignment algorithms to analyze antibody and other immunological protein sequences.

Related Experiment Videos

  • Incorporating new sequence data, including nucleotide sequences, T cell receptors (TCRs), and MHC molecules.
  • Developing and applying novel analytical methodologies to extract deeper insights from the curated sequence collection.

    • Main Results:

    • The Kabat Database has expanded beyond antibodies to encompass a wide range of immunological sequences.
    • Advanced analytical methods are being developed to enhance the information derived from aligned sequences.
    • The database serves as a crucial resource for understanding protein structure, function, and the development of targeted therapeutics.

    Conclusions:

    • The Kabat Database remains a vital, evolving resource for immunological research, offering extensive sequence data and analytical tools.
    • Continued development of analytical methods will further unlock the potential of this comprehensive sequence repository.
    • The freely accessible database and its applications support diverse studies in structural biology and immunoinformatics.