Literature DB >> 20590217

How the diffusivity profile reduces the arbitrariness of protein folding free energies.

M Hinczewski1, Y von Hansen, J Dzubiella, R R Netz.   

Abstract

The concept of a protein diffusing in its free-energy folding landscape has been fruitful for both theory and experiment. Yet the choice of the reaction coordinate (RC) introduces an undesirable degree of arbitrariness into the problem. We analyze extensive simulation data of an alpha-helix in explicit water solvent as it stochastically folds and unfolds. The free-energy profiles for different RCs exhibit significant variations, some having an activation barrier, while others not. We show that this variation has little effect on the predicted folding kinetics if the diffusivity profiles are properly taken into account. This kinetic quasi-universality is rationalized by an RC rescaling, which, due to the reparameterization invariance of the Fokker-Planck equation, allows the combination of free-energy and diffusivity effects into a single function, the rescaled free-energy profile. This rescaled free energy indeed shows less variation among different RCs than the bare free energy and diffusivity profiles separately do, if we properly distinguish between RCs that contain knowledge of the native state and those that are purely geometric in nature. Our method for extracting diffusivity profiles is easily applied to experimental single molecule time series data and might help to reconcile conflicts that arise when comparing results from different experimental probes for the same protein.

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Year:  2010        PMID: 20590217     DOI: 10.1063/1.3442716

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


  21 in total

1.  Conformational dynamics and internal friction in homopolymer globules: equilibrium vs. non-equilibrium simulations.

Authors:  T R Einert; C E Sing; A Alexander-Katz; R R Netz
Journal:  Eur Phys J E Soft Matter       Date:  2011-12-14       Impact factor: 1.890

2.  Effects of Hofmeister ions on the α-helical structure of proteins.

Authors:  Alvaro H Crevenna; Nikolaus Naredi-Rainer; Don C Lamb; Roland Wedlich-Söldner; Joachim Dzubiella
Journal:  Biophys J       Date:  2012-02-21       Impact factor: 4.033

3.  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

4.  Diffusion models of protein folding.

Authors:  Robert B Best; Gerhard Hummer
Journal:  Phys Chem Chem Phys       Date:  2011-08-15       Impact factor: 3.676

5.  Time scale separation leads to position-dependent diffusion along a slow coordinate.

Authors:  Alexander Berezhkovskii; Attila Szabo
Journal:  J Chem Phys       Date:  2011-08-21       Impact factor: 3.488

6.  Capturing transition paths and transition states for conformational rearrangements in the ribosome.

Authors:  Jeffrey K Noel; Jorge Chahine; Vitor B P Leite; Paul Charles Whitford
Journal:  Biophys J       Date:  2014-12-16       Impact factor: 4.033

7.  Connecting thermal and mechanical protein (un)folding landscapes.

Authors:  Li Sun; Jeffrey K Noel; Joanna I Sulkowska; Herbert Levine; José N Onuchic
Journal:  Biophys J       Date:  2014-12-16       Impact factor: 4.033

8.  Extracting intrinsic dynamic parameters of biomolecular folding from single-molecule force spectroscopy experiments.

Authors:  Gi-Moon Nam; Dmitrii E Makarov
Journal:  Protein Sci       Date:  2015-07-14       Impact factor: 6.725

9.  Extracting the diffusion tensor from molecular dynamics simulation with Milestoning.

Authors:  Mauro L Mugnai; Ron Elber
Journal:  J Chem Phys       Date:  2015-01-07       Impact factor: 3.488

10.  Committors, first-passage times, fluxes, Markov states, milestones, and all that.

Authors:  Alexander M Berezhkovskii; Attila Szabo
Journal:  J Chem Phys       Date:  2019-02-07       Impact factor: 3.488

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