First Passage Times, Lifetimes, and Relaxation Times of Unfolded Proteins

Wei Dai, Anirvan M. Sengupta, and Ronald M. Levy
Phys. Rev. Lett. 115, 048101 – Published 21 July 2015

Abstract

The dynamics of proteins in the unfolded state can be quantified in computer simulations by calculating a spectrum of relaxation times which describes the time scales over which the population fluctuations decay to equilibrium. If the unfolded state space is discretized, we can evaluate the relaxation time of each state. We derive a simple relation that shows the mean first passage time to any state is equal to the relaxation time of that state divided by the equilibrium population. This explains why mean first passage times from state to state within the unfolded ensemble can be very long but the energy landscape can still be smooth (minimally frustrated). In fact, when the folding kinetics is two-state, all of the unfolded state relaxation times within the unfolded free energy basin are faster than the folding time. This result supports the well-established funnel energy landscape picture and resolves an apparent contradiction between this model and the recently proposed kinetic hub model of protein folding. We validate these concepts by analyzing a Markov state model of the kinetics in the unfolded state and folding of the miniprotein NTL9 (where NTL9 is the N-terminal domain of the ribosomal protein L9), constructed from a 2.9 ms simulation provided by D. E. Shaw Research.

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  • Received 9 March 2015

DOI:https://doi.org/10.1103/PhysRevLett.115.048101

© 2015 American Physical Society

Authors & Affiliations

Wei Dai and Anirvan M. Sengupta

  • Department of Physics and Astronomy, Rutgers the State University of New Jersey, Piscataway, New Jersey 08854, USA

Ronald M. Levy*

  • Center for Biophysics and Computational Biology and Institute for Computational Molecular Science, Temple University, Philadelphia, Pennsylvania 19122-1801, USA and Department of Chemistry, Temple University, Philadelphia, Pennsylvania 19122-1801, USA

  • *Corresponding author. ronlevy@temple.edu

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Vol. 115, Iss. 4 — 24 July 2015

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