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Reconstructing equilibrium entropy and enthalpy profiles from non-equilibrium pulling.

Daun Jeong1, Ioan Andricioaei

  • 1Department of Chemistry, University of California, Irvine, California 92697, USA.

The Journal of Chemical Physics
|March 29, 2013
PubMed
Summary

This study presents novel methods to decompose free energy profiles into entropy and energy components using non-equilibrium trajectories. These findings enable accurate analysis of biomolecular systems without repeated experiments.

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Area of Science:

  • Statistical Mechanics
  • Computational Biophysics
  • Physical Chemistry

Background:

  • The Jarzynski identity allows calculating equilibrium free energy from non-equilibrium work measurements.
  • Decomposing free energy into entropy and energy components is crucial for understanding molecular processes.

Purpose of the Study:

  • To derive analytical expressions for temperature derivatives of free energy profiles.
  • To develop methods for decomposing free energy into equilibrium entropy and internal energy profiles from non-equilibrium data.
  • To provide a single-temperature decomposition method, avoiding repeated measurements.

Main Methods:

  • Utilizing Wiener stochastic path integrals with temperature-dependent weights for Langevin trajectories.
  • Deriving exact formulae for temperature derivatives of free energy.
  • Applying three distinct analytical expressions: generalized weighted histogram analysis, quasi-harmonic spring limit, and Feynman-Kac formula.

Main Results:

  • Exact formulae for temperature derivatives of free energy profiles were derived.
  • Analytical expressions for entropy-energy decomposition from non-equilibrium pulling were obtained.
  • The methods were validated using Langevin simulations of a 2D model for biomolecular conformational changes.

Conclusions:

  • The developed methods enable accurate decomposition of free energy profiles into entropy and energy components.
  • This approach simplifies analysis by requiring trajectories at a single temperature.
  • The study suggests connections to single-molecule experiments for probing necessary functionals.