Literature DB >> 31640370

Molecular free energy profiles from force spectroscopy experiments by inversion of observed committors.

Roberto Covino1, Michael T Woodside2, Gerhard Hummer1, Attila Szabo3, Pilar Cossio1.   

Abstract

In single-molecule force spectroscopy experiments, a biomolecule is attached to a force probe via polymer linkers and the total extension of the molecule plus apparatus is monitored as a function of time. In a typical unfolding experiment at constant force, the total extension jumps between two values that correspond to the folded and unfolded states of the molecule. For several biomolecular systems, the committor, which is the probability to fold starting from a given extension, has been used to extract the molecular activation barrier (a technique known as "committor inversion"). In this work, we study the influence of the force probe, which is much larger than the molecule being measured, on the activation barrier obtained by committor inversion. We use a two-dimensional framework in which the diffusion coefficient of the molecule and of the pulling device can differ. We systematically study the free energy profile along the total extension obtained from the committor by numerically solving the Onsager equation and using Brownian dynamics simulations. We analyze the dependence of the extracted barrier on the linker stiffness, molecular barrier height, and diffusion anisotropy and, thus, establish the range of validity of committor inversion. Along the way, we showcase the committor of 2-dimensional diffusive models and illustrate how it is affected by barrier asymmetry and diffusion anisotropy.

Year:  2019        PMID: 31640370      PMCID: PMC6803169          DOI: 10.1063/1.5118362

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  13 in total

1.  Free energy profiles from single-molecule pulling experiments.

Authors:  Gerhard Hummer; Attila Szabo
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-22       Impact factor: 11.205

2.  Deconvolution of dynamic mechanical networks.

Authors:  Michael Hinczewski; Yann von Hansen; Roland R Netz
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-30       Impact factor: 11.205

3.  On artifacts in single-molecule force spectroscopy.

Authors:  Pilar Cossio; Gerhard Hummer; Attila Szabo
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-04       Impact factor: 11.205

4.  Force-dependent hopping rates of RNA hairpins can be estimated from accurate measurement of the folding landscapes.

Authors:  Changbong Hyeon; Greg Morrison; D Thirumalai
Journal:  Proc Natl Acad Sci U S A       Date:  2008-07-10       Impact factor: 11.205

Review 5.  Single-molecule force spectroscopy: optical tweezers, magnetic tweezers and atomic force microscopy.

Authors:  Keir C Neuman; Attila Nagy
Journal:  Nat Methods       Date:  2008-06       Impact factor: 28.547

6.  Splitting probabilities as a test of reaction coordinate choice in single-molecule experiments.

Authors:  John D Chodera; Vijay S Pande
Journal:  Phys Rev Lett       Date:  2011-08-23       Impact factor: 9.161

7.  Reconstructing folding energy landscapes from splitting probability analysis of single-molecule trajectories.

Authors:  Ajay P Manuel; John Lambert; Michael T Woodside
Journal:  Proc Natl Acad Sci U S A       Date:  2015-05-26       Impact factor: 11.205

8.  Communication: Does force spectroscopy of biomolecules probe their intrinsic dynamic properties?

Authors:  Dmitrii E Makarov
Journal:  J Chem Phys       Date:  2014-12-28       Impact factor: 3.488

9.  Quantifying Instrumental Artifacts in Folding Kinetics Measured by Single-Molecule Force Spectroscopy.

Authors:  Krishna Neupane; Michael T Woodside
Journal:  Biophys J       Date:  2016-06-29       Impact factor: 4.033

10.  Transition paths in single-molecule force spectroscopy.

Authors:  Pilar Cossio; Gerhard Hummer; Attila Szabo
Journal:  J Chem Phys       Date:  2018-03-28       Impact factor: 3.488

View more
  3 in total

1.  Broad distributions of transition-path times are fingerprints of multidimensionality of the underlying free energy landscapes.

Authors:  Rohit Satija; Alexander M Berezhkovskii; Dmitrii E Makarov
Journal:  Proc Natl Acad Sci U S A       Date:  2020-10-21       Impact factor: 11.205

2.  Modulation of a protein-folding landscape revealed by AFM-based force spectroscopy notwithstanding instrumental limitations.

Authors:  Devin T Edwards; Marc-Andre LeBlanc; Thomas T Perkins
Journal:  Proc Natl Acad Sci U S A       Date:  2021-03-23       Impact factor: 12.779

3.  Slow Transition Path Times Reveal a Complex Folding Barrier in a Designed Protein.

Authors:  Alexander Mehlich; Jie Fang; Benjamin Pelz; Hongbin Li; Johannes Stigler
Journal:  Front Chem       Date:  2020-12-07       Impact factor: 5.221

  3 in total

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