Statistics of Kinetic Pathways on Biased Rough Energy Landscapes with Applications to Protein Folding

Jin Wang, Jose Onuchic, and Peter Wolynes
Phys. Rev. Lett. 76, 4861 – Published 17 June 1996
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Abstract

Using path integrals, the statistics of kinetic pathways on a biased random energy landscape can be mapped on to the statistical mechanics of the random directed polymer. Using this, we make explicit the role of time scales in defining a protein folding pathway and the connections between thermodynamic glass transitions of the protein and the emergence of discrete kinetic pathways for folding.

  • Received 30 October 1995

DOI:https://doi.org/10.1103/PhysRevLett.76.4861

©1996 American Physical Society

Authors & Affiliations

Jin Wang1, Jose Onuchic2, and Peter Wolynes1

  • 1School of Chemical Sciences, University of Illinois, Urbana, Illinois 61801
  • 2Department of Physics, University of California at San Diego, La Jolla, California 92093

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Vol. 76, Iss. 25 — 17 June 1996

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