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AANT: the Amino Acid-Nucleotide Interaction Database.

Michael M Hoffman1, Maksim A Khrapov, J Colin Cox

  • 1Institute for Cellular and Molecular Biology, Department of Chemistry and Biochemistry, University of Texas at Austin, Austin, TX 78712-0159, USA.

Nucleic Acids Research
|December 19, 2003
PubMed
Summary

We developed the Amino Acid-Nucleotide Interaction Database (AANT) to categorize and visualize protein-nucleic acid interactions. This resource aids in understanding binding specificity and engineering novel nucleic acid binding proteins.

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Area of Science:

  • Structural Biology
  • Bioinformatics
  • Molecular Biology

Background:

  • Protein-nucleic acid interactions are fundamental to biological processes.
  • Understanding these interactions is key to deciphering molecular mechanisms and engineering new proteins.
  • Existing databases lack comprehensive categorization and visualization of amino acid-nucleotide interactions.

Purpose of the Study:

  • To create a comprehensive database of amino acid-nucleotide interactions.
  • To develop a user-friendly interface for visualizing these interactions.
  • To facilitate a deeper understanding of protein-nucleic acid binding specificity.

Main Methods:

  • Extracted amino acid-nucleotide interactions from experimentally determined protein-nucleic acid structures in the Protein Data Bank.

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  • Combined and superimposed interactions to create multiple structure files.
  • Grouped structurally similar interactions into clusters.
  • Utilized the Chime web browser plug-in for 3D visualization.

    • Main Results:

    • Developed the Amino Acid-Nucleotide Interaction Database (AANT).
    • Categorized a comprehensive set of amino acid-nucleotide interactions.
    • Enabled visualization of interactions in aggregate, including superimpositions and clusters.
    • Provided a tool for comparing diverse protein-nucleic acid structures.

    Conclusions:

    • AANT provides a unique resource for studying protein-nucleic acid interactions.
    • The database facilitates a fundamental understanding of binding specificity.
    • Modular representation of interactions may aid in engineering nucleic acid binding proteins.