5 research outputs found

    The Electrostatic Persistence Length Calculated from Monte Carlo, Variational and Perturbation Methods

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    Monte Carlo simulations and variational calculations using a Gaussian ansatz are applied to a model consisting of a flexible linear polyelectrolyte chain as well as to an intrinsically stiff chain with up to 1000 charged monomers. Addition of salt is treated implicitly through a screened Coulomb potential for the electrostatic interactions. For the flexible model the electrostatic persistence length shows roughly three regimes in its dependence on the Debye-H\"{u}ckel screening length, Îș−1\kappa^{-1}.As long as the salt content is low and Îș−1\kappa^{-1} is longer than the end-to-end distance, the electrostatic persistence length varies only slowly with Îș−1\kappa^{-1}. Decreasing the screening length, a controversial region is entered. We find that the electrostatic persistence length scales as sqrtΟp/Îșsqrt{\xi_p}/\kappa, in agreement with experiment on flexible polyelectrolytes, where Οp\xi_p is a strength parameter measuring the electrostatic interactions within the polyelectrolyte. For screening lengths much shorter than the bond length, the Îș−1\kappa^{-1} dependence becomes quadratic in the variational calculation. The simulations suffer from numerical problems in this regime, but seem to give a relationship half-way between linear and quadratic. A low temperature expansion only reproduces the first regime and a high temperature expansion, which treats the electrostatic interactions as a perturbation to a Gaussian chain, gives a quadratic dependence on the Debye length. For a sufficiently stiff chain, the persistence length varies quadratically with Îș−1\kappa^{-1} in agreement with earlier theories.Comment: 20 pages LaTeX, 9 postscript figure

    Delineation of the Native Basin in Continuum Models of Proteins

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    We propose two approaches for determining the native basins in off-lattice models of proteins. The first of them is based on exploring the saddle points on selected trajectories emerging from the native state. In the second approach, the basin size can be determined by monitoring random distortions in the shape of the protein around the native state. Both techniques yield the similar results. As a byproduct, a simple method to determine the folding temperature is obtained.Comment: REVTeX, 6 pages, 5 EPS figure
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