AI Article Synopsis

  • The generalized Born (GB) formalism models water as a dielectric continuum, with FACTS being a fast implicit solvent model.
  • The extension of FACTS to include a membrane environment is achieved by incorporating a position-dependent dielectric constant and an empirical surface tension parameter.
  • This new implicit membrane model successfully estimates free energy profiles for amino acid analogues and is validated through molecular dynamics simulations, showing good agreement with experimental and explicit solvent results while being only six times slower than vacuum simulations.

Article Abstract

The generalized Born (GB) formalism can be used to model water as a dielectric continuum. Among the different implicit solvent models using the GB formalism, FACTS is one of the fastest. Here, we extend FACTS so that it can represent a membrane environment. This extension is accomplished by considering a position dependent dielectric constant and empirical surface tension parameter. For the calculation of the effective Born radii in different dielectric environments we present a parameter-free approximation to Kirkwood's equation, which uses the Born radii obtained with FACTS for the water environment as input. This approximation is tested for the calculation of self-free energies, pairwise interaction energies in solution and solvation free energies of complete protein conformations. The results compare well to those from the finite difference Poisson method. The new implicit membrane model is applied to estimate free energy insertion profiles of amino acid analogues and in molecular dynamics simulations of melittin, WALP23 and KALP23, glycophorin A, bacteriorhodopsin, and a Clc channel dimer. In all cases, the results agree qualitatively with experiments and explicit solvent simulations. Moreover, the implicit membrane model is only six times slower than a vacuum simulation.

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Source
http://dx.doi.org/10.1021/ct500084yDOI Listing

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