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Coarse-grained models for the solvents dimethyl sulfoxide, chloroform, and methanol

机译:粗颗粒模型,用于溶剂二甲基亚砜,氯仿和甲醇

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The time- and length-scale accessible to molecular dynamics simulations of biomolecular systems using atomic-level (AL) models is most limited by the calculation of the solvent-solvent interactions, which comprise the majority of the interactions and yet are seldom of specific interest. Coarse-graining (CG), in which multiple solvent molecules are subsumed into a single bead, provides a means of overcoming this limitation without resorting to implicit solvation models, which basically misrepresent the hydrophobic effect. Most existing CG models, however, do not explicitly include electrostatic interactions, and thus fail to reproduce important properties of the solvent such as dielectric screening. Moreover, CG models for one type of solvent molecule are seldom compatible with those for other solvents. Here, we develop polarizable CG models for the solvents dimethyl sulfoxide, chloroform, and methanol that are compatible with an existing CG model for water. The inclusion of polarizability greatly improves the reproduction of thermodynamic data measured experimentally and calculated from AL simulations for both the pure liquids and binary mixtures.
机译:使用原子能级(AL)模型进行生物分子系统分子动力学模拟的时间尺度和长度尺度受到溶剂-溶剂相互作用的计算的最大限制,其中溶剂-溶剂相互作用占大多数相互作用,但很少引起特别关注。粗粒化(CG),其中将多个溶剂分子包含在单个珠粒中,提供了一种克服此限制的方法,而无需求助于隐含的溶剂化模型,该模型基本上无法代表疏水作用。但是,大多数现有的CG模型没有明确包括静电相互作用,因此无法重现溶剂的重要属性,例如介电筛选。此外,一种类型的溶剂分子的CG模型很少与其他溶剂的CG模型兼容。在这里,我们开发了与溶剂二甲基亚砜,氯仿和甲醇可极化的CG模型,这些模型与现有的水CG模型兼容。极化性的加入极大地改善了实验性测量的热力学数据的再现性,该热力学数据是根据AL模拟针对纯液体和二元混合物计算得出的。

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