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Conformational entropy in molecular recognition by proteins

Author

Listed:
  • Kendra King Frederick

    (University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA)

  • Michael S. Marlow

    (University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA)

  • Kathleen G. Valentine

    (University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA)

  • A. Joshua Wand

    (University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA)

Abstract

Molecular recognition by proteins is fundamental to almost every biological process, particularly the protein associations underlying cellular signal transduction. Understanding the basis for protein–protein interactions requires the full characterization of the thermodynamics of their association. Historically it has been virtually impossible to experimentally estimate changes in protein conformational entropy, a potentially important component of the free energy of protein association. However, nuclear magnetic resonance spectroscopy has emerged as a powerful tool for characterizing the dynamics of proteins. Here we employ changes in conformational dynamics as a proxy for corresponding changes in conformational entropy. We find that the change in internal dynamics of the protein calmodulin varies significantly on binding a variety of target domains. Surprisingly, the apparent change in the corresponding conformational entropy is linearly related to the change in the overall binding entropy. This indicates that changes in protein conformational entropy can contribute significantly to the free energy of protein–ligand association.

Suggested Citation

  • Kendra King Frederick & Michael S. Marlow & Kathleen G. Valentine & A. Joshua Wand, 2007. "Conformational entropy in molecular recognition by proteins," Nature, Nature, vol. 448(7151), pages 325-329, July.
    • Handle: RePEc:nat:nature:v:448:y:2007:i:7151:d:10.1038_nature05959
    DOI: 10.1038/nature05959
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    Cited by:

    1. Federico Fogolari & Alessandra Corazza & Sara Fortuna & Miguel Angel Soler & Bryan VanSchouwen & Giorgia Brancolini & Stefano Corni & Giuseppe Melacini & Gennaro Esposito, 2015. "Distance-Based Configurational Entropy of Proteins from Molecular Dynamics Simulations," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-26, July.

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