Literature DB >> 17867784

Transient violations of the second law of thermodynamics in protein unfolding examined using synthetic atomic force microscopy and the fluctuation theorem.

Sterling Paramore1, Gary S Ayton, Gregory A Voth.   

Abstract

The synthetic atomic force microscopy (AFM) method is developed to simulate a periodically replicated atomistic system subject to force and length fluctuations characteristic of an AFM experiment. This new method is used to examine the forced-extension and subsequent rupture of the alpha-helical linker connecting periodic images of a spectrin protein repeat unit. A two-dimensional potential of mean force (PMF) along the length and a reaction coordinate describing the state of the linker was calculated. This PMF reveals that the basic material properties of the spectrin repeat unit are sensitive to the state of linker, an important feature that cannot be accounted for in a one-dimensional PMF. Furthermore, nonequilibrium simulations were generated to examine the rupture event in the context of the fluctuation theorem. These atomistic simulations demonstrate that trajectories which are in apparent violation of the second law can overcome unfolding barriers at significantly reduced rupture forces.

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Year:  2007        PMID: 17867784     DOI: 10.1063/1.2764487

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


  4 in total

1.  Using stochastic models calibrated from nanosecond nonequilibrium simulations to approximate mesoscale information.

Authors:  Christopher P Calderon; Lorant Janosi; Ioan Kosztin
Journal:  J Chem Phys       Date:  2009-04-14       Impact factor: 3.488

2.  Quantifying multiscale noise sources in single-molecule time series.

Authors:  Christopher P Calderon; Nolan C Harris; Ching-Hwa Kiang; Dennis D Cox
Journal:  J Phys Chem B       Date:  2009-01-08       Impact factor: 2.991

3.  Extracting Kinetic and Stationary Distribution Information from Short MD Trajectories via a Collection of Surrogate Diffusion Models.

Authors:  Christopher P Calderon; Karunesh Arora
Journal:  J Chem Theory Comput       Date:  2009-01-01       Impact factor: 6.006

Review 4.  Entropy in Cell Biology: Information Thermodynamics of a Binary Code and Szilard Engine Chain Model of Signal Transduction.

Authors:  Tatsuaki Tsuruyama
Journal:  Entropy (Basel)       Date:  2018-08-19       Impact factor: 2.524

  4 in total

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