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A pre-existing hydrophobic collapse in the unfolded state of an ultrafast folding protein

Author

Listed:
  • K. Hun Mok

    (University of Oxford, Physical & Theoretical Chemistry Laboratory, South Parks Road, Oxford OX1 3QZ, UK
    School of Biochemistry and Immunology, Trinity College, University of Dublin, Dublin 2, Ireland)

  • Lars T. Kuhn

    (University of Oxford, Physical & Theoretical Chemistry Laboratory, South Parks Road, Oxford OX1 3QZ, UK)

  • Martin Goez

    (Fachbereich Chemie, Martin-Luther-Universität Halle-Wittenberg, Kurt-Mothes-Strasse 2, D-06120 Halle/Saale, Germany)

  • Iain J. Day

    (University of Massachusetts Medical School, 364 Plantation Street, Worcester, Massachusetts 01605, USA
    Present address: Medway Sciences, University of Greenwich, Medway University Campus, Central Avenue, Chatham Maritime, Chatham, Kent, ME4 4TB, UK.)

  • Jasper C. Lin

    (University of Washington, Seattle, Washington 98195, USA)

  • Niels H. Andersen

    (University of Washington, Seattle, Washington 98195, USA)

  • P. J. Hore

    (University of Oxford, Physical & Theoretical Chemistry Laboratory, South Parks Road, Oxford OX1 3QZ, UK)

Abstract

A nuclear magnetic resonance technique is developed that allows early atomic interactions to be read out later, in the more homogeneous folded state. When this is applied to an ultrafast folding designer protein, it discovers an early hydrophobic core that had been overlooked by computational models.

Suggested Citation

  • K. Hun Mok & Lars T. Kuhn & Martin Goez & Iain J. Day & Jasper C. Lin & Niels H. Andersen & P. J. Hore, 2007. "A pre-existing hydrophobic collapse in the unfolded state of an ultrafast folding protein," Nature, Nature, vol. 447(7140), pages 106-109, May.
  • Handle: RePEc:nat:nature:v:447:y:2007:i:7140:d:10.1038_nature05728
    DOI: 10.1038/nature05728
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    Cited by:

    1. Isabella Daidone & Hannes Neuweiler & Sören Doose & Markus Sauer & Jeremy C Smith, 2010. "Hydrogen-Bond Driven Loop-Closure Kinetics in Unfolded Polypeptide Chains," PLOS Computational Biology, Public Library of Science, vol. 6(1), pages 1-9, January.

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