NMR-NOE and MD Simulation Study on Phospholipid Membranes : Dependence on Membrane Diameter and Multiple Time Scale Dynamics
NMR-NOE and MD Simulation Study on Phospholipid Membranes : Dependence on Membrane Diameter and Multiple Time Scale Dynamics
复制标题
磷脂膜的 NMR-NOE 和 MD 模拟研究:对膜直径和多时间尺度动力学的依赖性
DOI:
10.1021/jp204051f
复制
发表时间:
2011
影响因子:
3.3
通讯作者:
N.Matubayasi
中科院分区:
文献类型:
--
作者:
M.Shintani;K.Yoshida;S.Sakuraba;M.Nakahara;N.Matubayasi
Motional correlation times between the hydrophilic and hydrophobic terminal groups in lipid membranes are studied over a wide range of curvatures using the solution-state1H NMR-nuclear Overhauser effect (NOE) and molecular dynamics (MD) simulation. To enable1H NMR-NOE measurements for large vesicles, the transient NOE method is combined with the spin–echo method, and is successfully applied to a micelle of 1-palmitoyl-lysophosphatidylcholine (PaLPC) with diameter of 5 nm and to vesicles of dipalmitoylphosphatidylcholine (DPPC) with diameters ranging from 30 to 800 nm. It is found that the NOE intensity increases with the diameter up to ∼100 nm, and the model membrane is considered planar on the molecular level beyond ∼100 nm. While the NOE between the hydrophilic terminal and hydrophobic terminal methyl groups is absent for the micelle, its intensity is comparable to that for the neighboring group for vesicles with larger diameters. The origin of NOE signals between distant sites is analyzed by MD simulations of PaLPC micelles and DPPC planar bilayers. The slow relaxation is shown to yield an observable NOE signal even for the hydrophilic and hydrophobic terminal sites. Since the information on distance and dynamics cannot be separated in the experimental NOE alone, the correlation time in large vesicles is determined by combining the experimental NOE intensity and MD-based distance distribution. For large vesicles, the correlation time is found to vary by 2 orders of magnitude over the proton sites. This study shows that NOE provides dynamic information on large vesicles when combined with MD, which provides structural information.