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Toward Quantitative Coarse-Grained Models of Lipids with Fluids Density Functional Theory.
Frink, Laura J Douglas; Frischknecht, Amalie L; Heroux, Michael A; Parks, Michael L; Salinger, Andrew G.
Afiliação
  • Frink LJ; Colder Insights Corp. , Shoreview, Minnesota, 55126, United States.
  • Frischknecht AL; Sandia National Laboratories , Albuquerque, New Mexico 87185, United States.
  • Heroux MA; Sandia National Laboratories , Albuquerque, New Mexico 87185, United States.
  • Parks ML; Sandia National Laboratories , Albuquerque, New Mexico 87185, United States.
  • Salinger AG; Sandia National Laboratories , Albuquerque, New Mexico 87185, United States.
J Chem Theory Comput ; 8(4): 1393-408, 2012 Apr 10.
Article em En | MEDLINE | ID: mdl-26596753
ABSTRACT
We describe methods to determine optimal coarse-grained models of lipid bilayers for use in fluids density functional theory (fluids-DFT) calculations. Both coarse-grained lipid architecture and optimal parametrizations of the models based on experimental measures are discussed in the context of dipalmitoylphosphatidylcholine (DPPC) lipid bilayers in water. The calculations are based on a combination of the modified-iSAFT theory for bonded systems and an accurate fundamental measures theory (FMT) for hard sphere reference fluids. We furthermore discuss a novel approach for pressure control in the fluids-DFT calculations that facilitates both partitioning studies and zero tension control for the bilayer studies. A detailed discussion of the numerical implementations for both solvers and pressure control capabilities are provided. We show that it is possible to develop a coarse-grained lipid bilayer model that is consistent with experimental properties (thickness and area per lipid) of DPPC provided that the coarse-graining is not too extreme. As a final test of the model, we find that the predicted area compressibility moduli and lateral pressure profiles of the optimized models are in reasonable agreement with prior results.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2012 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2012 Tipo de documento: Article