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首页> 外文期刊>Proteins: Structure, Function, and Genetics >Capturing the energetics of water insertion in biological systems: The water flooding approach
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Capturing the energetics of water insertion in biological systems: The water flooding approach

机译:捕获生物系统中注水的能量:注水方法

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Consistent description of the effect of internal water in proteins has been a major challenge for both simulation and experimental studies. Describing this effect has been particularly important and elusive in cases of charges in protein interiors. Here, we present a new microscopic method that provides an efficient way for simulating the energetics of water insertion. Instead of performing explicit Monte Carlo (MC) moves on the insertion process, which generally involves an enormous number of rejected attempts, our method is based on generating trial configurations with excess amount of internal water, estimating the relevant free energy by the linear response approximation, and then using a postprocessing MC treatment to filter out a limited number of configurations from a large possible set. Our approach is validated on particularly challenging test cases including the pKa of the V66D mutation in Staphylococcal nuclease, Glu286 in cytochrome c oxidase (CcO) and the energetics of a protonated water molecule in the D channel of CcO. The new postprocessing method allows us to reproduce the relevant energetics of highly unstable charges in protein interiors using fully microscopic calculations and provides a substantial improvement over regular microscopic free energy estimates. This advance established the effectiveness of our water insertion strategy in challenging cases that have not been addressed successfully by other microscopic methods. Furthermore, our study provides a new exciting view on the crucial effect of water penetration in key biological systems as well as a new view on the nature of the dielectric in protein interiors.
机译:内部水对蛋白质的影响的一致描述一直是模拟和实验研究的主要挑战。在蛋白质内部电荷的情况下,描述这种效应特别重要且难以捉摸。在这里,我们提出了一种新的微观方法,为模拟水的插入能量提供了一种有效的方法。我们的方法不是在插入过程中执行通常涉及大量拒绝尝试的明确的蒙特卡洛(MC)移动,而是基于生成内部水量过多的试验配置,通过线性响应近似估算相关自由能,然后使用后处理MC处理从大量可能的集合中滤除有限数量的配置。我们的方法在特别具有挑战性的测试案例中得到了验证,包括葡萄球菌核酸酶中V66D突变的pKa,细胞色素C氧化酶(CcO)中的Glu286和CcO D通道中质子化水分子的能量。新的后处理方法使我们能够使用完全的微观计算在蛋白质内部重现高不稳定电荷的相关能量,并且比常规的微观自由能估计值有了实质性的改进。这项进展确立了我们的注水策略在其他显微镜方法未能成功解决的挑战性案例中的有效性。此外,我们的研究为水在关键生物系统中的关键作用提供了令人振奋的新观点,也为蛋白质内部的电介质性质提供了新观点。

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