Literature DB >> 27664502

An extensive simulation study of lipid bilayer properties with different head groups, acyl chain lengths, and chain saturations.

Xiaohong Zhuang1, Eder M Dávila-Contreras2, Andrew H Beaven3, Wonpil Im4, Jeffery B Klauda5.   

Abstract

Previous MD simulations of six phosphocholine (PC) lipid bilayers demonstrated the accuracy of the CHARMM36 force field (C36FF) for PC bilayer simulation at varied temperatures (BBA-Biomembranes, 1838 (2014): 2520-2529). In this work, we further examine the accuracy of C36FF over a wide temperature range for a broader range of lipid types such as various head groups (phosphatidic acid (PA), PC, phosphoethanolamine (PE), phosphoglycerol (PG), and phosphoserine (PS)), and tails (saturated, mono-, mixed- and poly-unsaturated acyl chains with varied chain lengths). The structural properties (surface area per lipid (SA/lip), overall bilayer thickness, hydrophobic thickness, headgroup-to-headgroup thickness, deuterium order parameter (SCD), and spin-lattice relaxation time (T1)) obtained from simulations agree well with nearly all available experimental data. Our analyses indicate that PS lipids have the most inter-lipid hydrogen bonds, while PG lipids have the most intra-lipid hydrogen bonds, which play the main role in their low SA/lip in PS lipids and low thicknesses in PG lipids, respectively. PS, PE, and PA lipids have the largest contact clusters with on average 5-8 lipids per cluster, while PC and PG have clusters of 4 lipids based on a cutoff distance of 6.5Å. PS lipids have much slower lipid wobble (i.e., higher correlation time) than other head groups at a given temperature as the hydrogen bonded network significantly reduces a lipid's mobility, and the rate of lipid wobble increases dramatically as temperature increases. These in-depth analyses facilitate further understanding of lipid bilayers at the atomic level.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Force field accuracy; Lipid wobble; Molecular dynamics; Structural property

Mesh:

Substances:

Year:  2016        PMID: 27664502     DOI: 10.1016/j.bbamem.2016.09.016

Source DB:  PubMed          Journal:  Biochim Biophys Acta        ISSN: 0006-3002


  13 in total

1.  Quantitative Characterization of Protein-Lipid Interactions by Free Energy Simulation between Binary Bilayers.

Authors:  Soohyung Park; Min Sun Yeom; Olaf S Andersen; Richard W Pastor; Wonpil Im
Journal:  J Chem Theory Comput       Date:  2019-10-14       Impact factor: 6.006

2.  Computer simulations of protein-membrane systems.

Authors:  Jennifer Loschwitz; Olujide O Olubiyi; Jochen S Hub; Birgit Strodel; Chetan S Poojari
Journal:  Prog Mol Biol Transl Sci       Date:  2020-02-26       Impact factor: 3.622

3.  Accelerating Membrane Simulations with Hydrogen Mass Repartitioning.

Authors:  Curtis Balusek; Hyea Hwang; Chun Hon Lau; Karl Lundquist; Anthony Hazel; Anna Pavlova; Diane L Lynch; Patricia H Reggio; Yi Wang; James C Gumbart
Journal:  J Chem Theory Comput       Date:  2019-07-02       Impact factor: 6.006

4.  Observed steric crowding at modest coverage requires a particular membrane-binding scheme or a complementary mechanism.

Authors:  Kayla Sapp; Alexander J Sodt
Journal:  Biophys J       Date:  2021-12-28       Impact factor: 4.033

5.  Simulation Best Practices for Lipid Membranes [Article v1.0].

Authors:  David J Smith; Jeffery B Klauda; Alexander J Sodt
Journal:  Living J Comput Mol Sci       Date:  2019-01-09

6.  Molecular Structure of Sphingomyelin in Fluid Phase Bilayers Determined by the Joint Analysis of Small-Angle Neutron and X-ray Scattering Data.

Authors:  Milka Doktorova; Norbert Kučerka; Jacob J Kinnun; Jianjun Pan; Drew Marquardt; Haden L Scott; Richard M Venable; Richard W Pastor; Stephen R Wassall; John Katsaras; Frederick A Heberle
Journal:  J Phys Chem B       Date:  2020-06-16       Impact factor: 2.991

7.  Comparison of Additive and Polarizable Models with Explicit Treatment of Long-Range Lennard-Jones Interactions Using Alkane Simulations.

Authors:  Alison N Leonard; Andrew C Simmonett; Frank C Pickard; Jing Huang; Richard M Venable; Jeffery B Klauda; Bernard R Brooks; Richard W Pastor
Journal:  J Chem Theory Comput       Date:  2018-01-09       Impact factor: 6.006

8.  CHARMM36 Lipid Force Field with Explicit Treatment of Long-Range Dispersion: Parametrization and Validation for Phosphatidylethanolamine, Phosphatidylglycerol, and Ether Lipids.

Authors:  Yalun Yu; Andreas Krämer; Richard M Venable; Bernard R Brooks; Jeffery B Klauda; Richard W Pastor
Journal:  J Chem Theory Comput       Date:  2021-02-23       Impact factor: 6.006

9.  Semi-automated Optimization of the CHARMM36 Lipid Force Field to Include Explicit Treatment of Long-Range Dispersion.

Authors:  Yalun Yu; Andreas Krämer; Richard M Venable; Andrew C Simmonett; Alexander D MacKerell; Jeffery B Klauda; Richard W Pastor; Bernard R Brooks
Journal:  J Chem Theory Comput       Date:  2021-02-23       Impact factor: 6.006

10.  Structure and dynamics of γ-secretase with presenilin 2 compared to presenilin 1.

Authors:  Budheswar Dehury; Ning Tang; Tom L Blundell; Kasper P Kepp
Journal:  RSC Adv       Date:  2019-07-04       Impact factor: 4.036

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