Literature DB >> 29642035

Probing Position-Dependent Diffusion in Folding Reactions Using Single-Molecule Force Spectroscopy.

Daniel A N Foster1, Rafayel Petrosyan1, Andrew G T Pyo1, Armin Hoffmann1, Feng Wang2, Michael T Woodside3.   

Abstract

Folding of proteins and nucleic acids involves a diffusive search over a multidimensional conformational energy landscape for the minimal-energy structure. When examining the projection of conformational motions onto a one-dimensional reaction coordinate, as done in most experiments, the diffusion coefficient D is generally position dependent. However, it has proven challenging to measure such position-dependence experimentally. We investigated the position-dependence of D in the folding of DNA hairpins as a simple model system in two ways: first, by analyzing the round-trip time to return to a given extension in constant-force extension trajectories measured by force spectroscopy, and second, by analyzing the fall time required to reach a given extension in force jump measurements. These methods yielded conflicting results: the fall time implied a fairly constant D, but the round-trip time implied variations of over an order of magnitude. Comparison of experiments with computational simulations revealed that both methods were strongly affected by experimental artifacts inherent to force spectroscopy measurements, which obscured the intrinsic position-dependence of D. Lastly, we applied Kramers's theory to the kinetics of hairpins with energy barriers located at different positions along the hairpin stem, as a crude probe of D at different stem positions, and we found that D did not vary much as the barrier was moved along the reaction coordinate. This work underlines the difficulties faced when trying to deduce position-dependent diffusion coefficients from experimental folding trajectories.
Copyright © 2018 Biophysical Society. All rights reserved.

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Year:  2018        PMID: 29642035      PMCID: PMC5954564          DOI: 10.1016/j.bpj.2018.02.026

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  54 in total

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2.  Reaction coordinates and rates from transition paths.

Authors:  Robert B Best; Gerhard Hummer
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5.  Direct measurement of the full, sequence-dependent folding landscape of a nucleic acid.

Authors:  Michael T Woodside; Peter C Anthony; William M Behnke-Parks; Kevan Larizadeh; Daniel Herschlag; Steven M Block
Journal:  Science       Date:  2006-11-10       Impact factor: 47.728

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Review 7.  The protein-folding problem, 50 years on.

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8.  Energy landscape analysis of native folding of the prion protein yields the diffusion constant, transition path time, and rates.

Authors:  Hao Yu; Amar Nath Gupta; Xia Liu; Krishna Neupane; Angela M Brigley; Iveta Sosova; Michael T Woodside
Journal:  Proc Natl Acad Sci U S A       Date:  2012-08-20       Impact factor: 11.205

9.  From mechanical folding trajectories to intrinsic energy landscapes of biopolymers.

Authors:  Michael Hinczewski; J Christof M Gebhardt; Matthias Rief; D Thirumalai
Journal:  Proc Natl Acad Sci U S A       Date:  2013-03-04       Impact factor: 11.205

10.  Spin glasses and the statistical mechanics of protein folding.

Authors:  J D Bryngelson; P G Wolynes
Journal:  Proc Natl Acad Sci U S A       Date:  1987-11       Impact factor: 11.205

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  3 in total

1.  Measuring the average shape of transition paths during the folding of a single biological molecule.

Authors:  Noel Q Hoffer; Krishna Neupane; Andrew G T Pyo; Michael T Woodside
Journal:  Proc Natl Acad Sci U S A       Date:  2019-04-05       Impact factor: 11.205

2.  Position-, disorder-, and salt-dependent diffusion in binding-coupled-folding of intrinsically disordered proteins.

Authors:  Xiakun Chu; Jin Wang
Journal:  Phys Chem Chem Phys       Date:  2019-03-06       Impact factor: 3.676

3.  Observing the base-by-base search for native structure along transition paths during the folding of single nucleic acid hairpins.

Authors:  Noel Q Hoffer; Krishna Neupane; Michael T Woodside
Journal:  Proc Natl Acad Sci U S A       Date:  2021-12-07       Impact factor: 12.779

  3 in total

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