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An amino acid code to define a protein's tertiary packing surface.

Keith J Fraga1, Hyun Joo1, Jerry Tsai1

  • 1Department of Chemistry, University of the Pacific, Stockton, California, 95211.

Proteins
|November 18, 2015
PubMed
Summary

This study introduces a knob-socket model to analyze protein tertiary structure, simplifying the understanding of residue packing. It reveals geometric preferences in protein pockets and highlights the role of amino acids in packing specificity.

Keywords:
knob-socket analysisnonspecific protein interactionspacking pocketprotein packingprotein tertiary structure

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Area of Science:

  • Structural biology
  • Computational biology
  • Biophysics

Background:

  • Protein tertiary structure is stabilized by specific packing interactions.
  • Characterizing nonspecific interactions in protein folding remains challenging.
  • The knob-socket model offers a framework for analyzing residue packing.

Purpose of the Study:

  • To extend the knob-socket model for classifying residue interactions within protein pockets.
  • To investigate the geometry and diversity of protein tertiary surfaces.
  • To develop a simplified vocabulary for protein tertiary packing analysis.

Main Methods:

  • Classifying knob residue interactions within contiguous sockets (pockets).
  • Developing a symbolic two-dimensional mapping of pockets.
  • Analyzing pocket geometry, amino acid composition, and side-chain rotamer preferences.

Main Results:

  • Pocket geometries can be grouped by shared core structures, indicating ancillary interactions.
  • A preference for right-handed configurations in alpha-helices and left-handed in beta-sheets was observed.
  • Nonpolar amino acids are crucial for packing, with hydrophobic knobs preferring to pack into pockets, though without strong selectivity.

Conclusions:

  • The knob-socket model provides a simplified vocabulary for describing protein tertiary packing.
  • This approach aids in the analysis, design, and prediction of protein structures.
  • Understanding pocket geometry and amino acid composition is key to deciphering packing interactions.