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      CHARMM all-atom additive force field for sphingomyelin: elucidation of hydrogen bonding and of positive curvature.

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          Abstract

          The C36 CHARMM lipid force field has been extended to include sphingolipids, via a combination of high-level quantum mechanical calculations on small molecule fragments, and validation by extensive molecular dynamics simulations on N-palmitoyl and N-stearoyl sphingomyelin. NMR data on these two molecules from several studies in bilayers and micelles played a strong role in the development and testing of the force field parameters. Most previous force fields for sphingomyelins were developed before the availability of the detailed NMR data and relied on x-ray diffraction of bilayers alone for the validation; these are shown to be too dense in the bilayer plane based on published chain order parameter data from simulations and experiments. The present simulations reveal O-H:::O-P intralipid hydrogen bonding occurs 99% of the time, and interlipid N-H:::O=C (26-29%, depending on the lipid) and N-H:::O-H (17-19%). The interlipid hydrogen bonds are long lived, showing decay times of 50 ns, and forming strings of lipids, and leading to reorientational correlation time of nearly 100 ns. The spontaneous radius of curvature for pure N-palmitoyl sphingomyelin bilayers is estimated to be 43-100 Å, depending on the assumptions made in assigning a bending constant; this unusual positive curvature for a two-tailed neutral lipid is likely associated with hydrogen bond networks involving the NH of the sphingosine group.

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          Author and article information

          Journal
          Biophys. J.
          Biophysical journal
          1542-0086
          0006-3495
          Jul 1 2014
          : 107
          : 1
          Affiliations
          [1 ] Laboratory of Computational Biology, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
          [2 ] Department of Chemical and Biomolecular Engineering, University of Maryland, College Park, Maryland.
          [3 ] Center for Bioinformatics and Department of Molecular Biosciences, The University of Kansas, Lawrence, Kansas.
          [4 ] Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, Maryland.
          [5 ] Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, Maryland. Electronic address: alex@outerbanks.umaryland.edu.
          [6 ] Laboratory of Computational Biology, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland. Electronic address: pastorr@nhlbi.nih.gov.
          [7 ] Department of Chemical and Biomolecular Engineering, University of Maryland, College Park, Maryland. Electronic address: jbklauda@umd.edu.
          Article
          S0006-3495(14)00572-4
          10.1016/j.bpj.2014.05.034
          4119286
          24988348
          669f5095-9365-496b-9bd0-e32dc1317f69
          Copyright © 2014 Biophysical Society. Published by Elsevier Inc. All rights reserved.
          History

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