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PNAS Plus: Necessity of capillary modes in a minimal model of nanoscale hydrophobic solvation

机译:PNAS Plus:在纳米级疏水溶剂化最小模型中毛细管模式的必要性

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摘要

Modern theories of the hydrophobic effect highlight its dependence on length scale, emphasizing the importance of interfaces in the vicinity of sizable hydrophobes. We recently showed that a faithful treatment of such nanoscale interfaces requires careful attention to the statistics of capillary waves, with significant quantitative implications for the calculation of solvation thermodynamics. Here, we show that a coarse-grained lattice model like that of Chandler [Chandler D (2005) Nature 437(7059):640–647], when informed by this understanding, can capture a broad range of hydrophobic behaviors with striking accuracy. Specifically, we calculate probability distributions for microscopic density fluctuations that agree very well with results of atomistic simulations, even many SDs from the mean and even for probe volumes in highly heterogeneous environments. This accuracy is achieved without adjustment of free parameters, because the model is fully specified by well-known properties of liquid water. As examples of its utility, we compute the free-energy profile for a solute crossing the air–water interface, as well as the thermodynamic cost of evacuating the space between extended nanoscale surfaces. These calculations suggest that a highly reduced model for aqueous solvation can enable efficient multiscale modeling of spatial organization driven by hydrophobic and interfacial forces.
机译:疏水效应的现代理论强调了其对长度尺度的依赖性,强调了在相当大的疏水物附近的界面的重要性。我们最近表明,对此类纳米级界面的忠实处理需要仔细关注毛细管波的统计数据,这对溶剂化热力学的计算具有重大的定量意义。在这里,我们显示出类似钱德勒的粗粒度晶格模型[Chandler D(2005)Nature 437(7059):640-647],当以此理解为基础时,它就能以惊人的准确性捕获广泛的疏水行为。具体来说,我们计算出与原子模拟结果非常吻合的微观密度波动的概率分布,甚至从均值甚至在高度异构环境中的探针体积也可以得出许多SD。无需调整自由参数即可实现此精度,​​因为该模型完全由液态水的众所周知的特性指定。作为其效用的例子,我们计算了穿过空气-水界面的溶质的自由能分布,以及疏散延伸的纳米级表面之间的空间的热力学成本。这些计算表明,高度简化的水溶剂化模型可以实现由疏水力和界面力驱动的高效多尺度空间组织建模。

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