Effects of a Polarizable Force Field on Membrane Dynamics: Surface Viscosity, Lipid Diffusion, and Peptide Induced Pore Formation

IF 4.8 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Journal of Computational Chemistry Pub Date : 2025-02-12 DOI:10.1002/jcc.70001
Richard M. Venable, Anthony J. Pane, Amy Rice, Richard W. Pastor
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Abstract

The effects of the newly developed CHARMM polarizable lipid force field (FF), Drude2023, on selected lipid dynamical properties are compared with the additive CHARMM36 (C36), and an extension of C36, termed C36/LJ-PME, which includes long-range Lennard–Jones (LJ) interactions. Polarizability and long-range LJ interactions increase the membrane surface viscosity, which decreases the translational diffusion constants. Simulated diffusion constants for dipalmitoylphosphatidylcholine (DPPC) and dioleoylphosphatidylcholine (DOPC) extrapolated to infinite system size agree well with experiment for Drude2023, but overestimate experiment by 60% (on average) and a factor of 2.5 for C36/LJ-PME and C36, respectively. The relaxation time of lipid wobble is described about equally well by C36/LJ-PME and Drude2023, as consistent with the hexadecane viscosity for the FF, and both are more accurate than C36. Hence, physical improvements in the FF, which slowed down these dynamic processes led to better agreement with experiment. Lastly, bilayers containing 10 influenza fusion peptides and high fractions of lysolipids (which are known to accelerate pore formation) were simulated with C36 and Drude2023. Pore formation rates were comparable for the two FF for the bilayers with 80% and 90% lysolipid. However, while no pores formed in 24 μs (including a single 20 μs trajectory) in the 70% lysolipid with C36, 4 of 15 replicates formed pores in less than 1 μs with Drude. While the pathway to poration is qualitatively similar for the additive and polarizable FF for the systems studied, Drude2023 should be considered for quantitative studies of pore formation, and, in some cases, will accelerate the process.

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极化力场对膜动力学的影响:表面粘度、脂质扩散和肽诱导的孔形成
将新开发的CHARMM极化脂质力场(FF) Drude2023与添加的CHARMM36 (C36)和C36的扩展版本C36/LJ- pme(包括远程Lennard-Jones (LJ)相互作用)对脂质动力学特性的影响进行了比较。极化率和远程LJ相互作用增加了膜表面粘度,从而降低了平移扩散常数。双棕榈酰磷脂酰胆碱(DPPC)和二油基磷脂酰胆碱(DOPC)外推到无限系统尺寸时的模拟扩散常数与Drude2023的实验结果吻合较好,但对C36/LJ-PME和C36分别高估了60%(平均)和2.5倍。C36/LJ-PME和Drude2023同样能很好地描述脂质摆动的松弛时间,与FF的十六烷粘度一致,两者都比C36更准确。因此,FF的物理改进减缓了这些动态过程,与实验结果更加吻合。最后,用C36和Drude2023模拟含有10种流感融合肽和高含量溶脂(已知可加速孔隙形成)的双层结构。对于溶固体含量为80%和90%的双层结构,两种FF的孔隙形成率相当。而在70%溶脂中,C36在24 μs内(包括一条20 μs轨迹)未形成孔隙,而Drude在小于1 μs内15次重复中有4次形成孔隙。虽然在所研究的体系中,添加剂和极化FF的孔隙形成途径在质量上是相似的,但应该考虑将Drude2023用于孔隙形成的定量研究,并且在某些情况下,将加速这一过程。
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来源期刊
CiteScore
6.60
自引率
3.30%
发文量
247
审稿时长
1.7 months
期刊介绍: This distinguished journal publishes articles concerned with all aspects of computational chemistry: analytical, biological, inorganic, organic, physical, and materials. The Journal of Computational Chemistry presents original research, contemporary developments in theory and methodology, and state-of-the-art applications. Computational areas that are featured in the journal include ab initio and semiempirical quantum mechanics, density functional theory, molecular mechanics, molecular dynamics, statistical mechanics, cheminformatics, biomolecular structure prediction, molecular design, and bioinformatics.
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