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      Testing of the GROMOS Force-Field Parameter Set 54A8: Structural Properties of Electrolyte Solutions, Lipid Bilayers, and Proteins

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          Abstract

          The GROMOS 54A8 force field [Reif et al. J. Chem. Theory Comput. 2012, 8, 3705–3723] is the first of its kind to contain nonbonded parameters for charged amino acid side chains that are derived in a rigorously thermodynamic fashion, namely a calibration against single-ion hydration free energies. Considering charged moieties in solution, the most decisive signature of the GROMOS 54A8 force field in comparison to its predecessor 54A7 can probably be found in the thermodynamic equilibrium between salt-bridged ion pair formation and hydration. Possible shifts in this equilibrium might crucially affect the properties of electrolyte solutions or/and the stability of (bio)molecules. It is therefore important to investigate the consequences of the altered description of charged oligoatomic species in the GROMOS 54A8 force field. The present study focuses on examining the ability of the GROMOS 54A8 force field to accurately model the structural properties of electrolyte solutions, lipid bilayers, and proteins. It is found that ( i) aqueous electrolytes involving oligoatomic species (sodium acetate, methylammonium chloride, guanidinium chloride) reproduce experimental salt activity derivatives for concentrations up to 1.0 m (1.0-molal) very well, and good agreement between simulated and experimental data is also reached for sodium acetate and methylammonium chloride at 2.0 m concentration, while not even qualitative agreement is found for sodium chloride throughout the whole range of examined concentrations, indicating a failure of the GROMOS 54A7 and 54A8 force-field parameter sets to correctly account for the balance between ion–ion and ion–water binding propensities of sodium and chloride ions; ( ii) the GROMOS 54A8 force field reproduces the liquid crystalline-like phase of a hydrated DPPC bilayer at a pressure of 1 bar and a temperature of 323 K, the area per lipid being in agreement with experimental data, whereas other structural properties (volume per lipid, bilayer thickness) appear underestimated; ( iii) the secondary structure of a range of different proteins simulated with the GROMOS 54A8 force field at pH 7 is maintained and compatible with experimental NMR data, while, as also observed for the GROMOS 54A7 force field, α-helices are slightly overstabilized with respect to 3 10-helices; ( iv) with the GROMOS 54A8 force field, the side chains of arginine, lysine, aspartate, and glutamate residues appear slightly more hydrated and present a slight excess of oppositely-charged solution components in their vicinity, whereas salt-bridge formation properties between charged residues at the protein surface, as assessed by probability distributions of interionic distances, are largely equivalent in the GROMOS 54A7 and 54A8 force-field parameter sets.

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          Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features.

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            Why do ultrasoft repulsive particles cluster and crystallize? Analytical results from density functional theory

            We demonstrate the accuracy of the hypernetted chain closure and of the mean-field approximation for the calculation of the fluid-state properties of systems interacting by means of bounded and positive-definite pair potentials with oscillating Fourier transforms. Subsequently, we prove the validity of a bilinear, random-phase density functional for arbitrary inhomogeneous phases of the same systems. On the basis of this functional, we calculate analytically the freezing parameters of the latter. We demonstrate explicitly that the stable crystals feature a lattice constant that is independent of density and whose value is dictated by the position of the negative minimum of the Fourier transform of the pair potential. This property is equivalent with the existence of clusters, whose population scales proportionally to the density. We establish that regardless of the form of the interaction potential and of the location on the freezing line, all cluster crystals have a universal Lindemann ratio L = 0.189 at freezing. We further make an explicit link between the aforementioned density functional and the harmonic theory of crystals. This allows us to establish an equivalence between the emergence of clusters and the existence of negative Fourier components of the interaction potential. Finally, we make a connection between the class of models at hand and the system of infinite-dimensional hard spheres, when the limits of interaction steepness and space dimension are both taken to infinity in a particularly described fashion.
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              Lattice simulation method to model diffusion and NMR spectra in porous materials

              A coarse-grained simulation method to predict NMR spectra of ions diffusing in porous carbons is proposed. The coarse-grained model uses input from molecular dynamics simulations such as the free-energy profile for ionic adsorption, and density-functional theory calculations are used to predict the NMR chemical shift of the diffusing ions. The approach is used to compute NMR spectra of ions in slit pores with pore widths ranging from 2 to 10 nm. As diffusion inside pores is fast, the NMR spectrum of an ion trapped in a single mesopore will be a sharp peak with a pore size dependent chemical shift. To account for the experimentally observed NMR line shapes, our simulations must model the relatively slow exchange between different pores. We show that the computed NMR line shapes depend on both the pore size distribution and the spatial arrangement of the pores. The technique presented in this work provides a tool to extract information about the spatial distribution of pore sizes from NMR spectra. Such information is diffcult to obtain from other characterisation techniques.
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                Author and article information

                Journal
                J Chem Theory Comput
                J Chem Theory Comput
                ct
                jctcce
                Journal of Chemical Theory and Computation
                American Chemical Society
                1549-9618
                1549-9626
                02 January 2013
                12 February 2013
                : 9
                : 2
                : 1247-1264
                Affiliations
                []Institute for Molecular Modeling and Simulation, University of Natural Resources and Life Sciences, 1190 Vienna, Austria
                []Institute for Glycomics, Griffith University, Southport Qld 4222, Australia
                Author notes
                [* ]Phone: +43 1 476548302. Fax: + 43 1 476548309. E-mail: chris.oostenbrink@ 123456boku.ac.at .
                Article
                10.1021/ct300874c
                3572754
                23418406
                f581ee07-7e07-4300-8055-d0a804695b69
                Copyright © 2013 American Chemical Society

                This is an open-access article distributed under the ACS AuthorChoice Terms & Conditions. Any use of this article, must conform to the terms of that license which are available at http://pubs.acs.org.

                History
                : 09 October 2012
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                Custom metadata
                ct300874c
                ct-2012-00874c

                Computational chemistry & Modeling
                Computational chemistry & Modeling

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