Gong Haipeng, Hocky Glen, Freed Karl F
Department of Chemistry and The James Franck Institute, University of Chicago, Chicago, IL 60637, USA.
Proc Natl Acad Sci U S A. 2008 Aug 12;105(32):11146-51. doi: 10.1073/pnas.0804506105. Epub 2008 Aug 4.
The widely used Born model describes the electrostatic response of continuous media using static dielectric constants. However, when applied to a liquid environment, a comparison of Born model predictions with experimental values (e.g., transfer free energies and pK(a) shifts) found that agreement is only achieved by using physically unrealistic dielectric constants for proteins, lipids, etc., and/or equally unrealistic atomic radii. This leads to questions concerning the physical origins for this failure of the Born model. We partially resolve this question by applying the Langevin-Debye (LD) model of a continuous distribution of point, polarizable dipoles, a model that contains an added dependence of the electrostatic response on the solvent's optical dielectric constant and both gas- and liquid-phase dipole moments, features absent in the Born model to which the LD model reduces for weak fields. The LD model is applied to simple representations of three biologically relevant systems: (i) globular proteins, (ii) lipid bilayers, and (iii) membrane proteins. The linear Born treatment greatly overestimates both the self-energy and the transfer free energy from water to hydrophobic environments (e.g., a protein interior). By using the experimental dielectric constant, the energy cost of charge burial in either globular or membrane proteins of the Born model is reduced by almost 50% with the nonlinear theory as is the pK(a) shift, and the shifts agree well with experimental trends.
广泛使用的玻恩模型利用静态介电常数来描述连续介质的静电响应。然而,当应用于液体环境时,将玻恩模型的预测结果与实验值(例如转移自由能和pK(a) 位移)进行比较发现,只有通过对蛋白质、脂质等使用不符合物理实际的介电常数和/或同样不符合实际的原子半径,才能达成一致。这引发了关于玻恩模型这种失效的物理根源的问题。我们通过应用点极化偶极子连续分布的朗之万 - 德拜(LD)模型部分解决了这个问题,该模型包含静电响应额外依赖于溶剂的光学介电常数以及气相和液相偶极矩,这些是玻恩模型所没有的特征,在弱场情况下LD模型可简化为玻恩模型。LD模型应用于三个具有生物学相关性的系统的简单表示:(i)球状蛋白质,(ii)脂质双层,以及(iii)膜蛋白。线性玻恩处理极大地高估了自能以及从水到疏水环境(例如蛋白质内部)的转移自由能。通过使用实验介电常数,对于球状或膜蛋白,玻恩模型中电荷埋藏的能量成本在非线性理论下降低了近50%,pK(a) 位移也是如此,并且这些位移与实验趋势吻合得很好。