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Origin of parameter degeneracy and molecular shape relationships in geometric-flow calculations of solvation free energies

机译:溶剂化自由能的几何流计算中参数简并性的起源和分子形状关系

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摘要

Implicit solvent models are important tools for calculating solvation free energies for chemical and biophysical studies since they require fewer computational resources but can achieve accuracy comparable to that of explicit-solvent models. In past papers, geometric flow-based solvation models have been established for solvation analysis of small and large compounds. In the present work, the use of realistic experiment-based parameter choices for the geometric flow models is studied. We find that the experimental parameters of solvent internal pressure p = 172 MPa and surface tension γ = 72 mN/m produce solvation free energies within 1 RT of the global minimum root-mean-squared deviation from experimental data over the expanded set. Our results demonstrate that experimental values can be used for geometric flow solvent model parameters, thus eliminating the need for additional parameterization. We also examine the correlations between optimal values of p and γ which are strongly anti-correlated. Geometric analysis of the small molecule test set shows that these results are inter-connected with an approximately linear relationship between area and volume in the range of molecular sizes spanned by the data set. In spite of this considerable degeneracy between the surface tension and pressure terms in the model, both terms are important for the broader applicability of the model.
机译:隐式溶剂模型是计算化学和生物物理研究的溶剂化自由能的重要工具,因为它们需要较少的计算资源,但可以获得与显式溶剂模型相当的精度。在过去的论文中,已经建立了基于几何流的溶剂化模型,用于对大小化合物进行溶剂化分析。在目前的工作中,研究了基于实际实验的参数选择对几何流动模型的使用。我们发现溶剂内部压力p = 172 MPa和表面张力γ= 72 mN / m的实验参数在扩展集上的实验数据的全局最小均方根偏差的1 RT内产生溶剂化自由能。我们的结果表明,实验值可用于几何流动溶剂模型参数,从而消除了其他参数化的需要。我们还检查了p和γ的最佳值之间的相关性,它们之间存在强烈的反相关性。小分子测试集的几何分析表明,这些结果相互关联,并且在数据集所涵盖的分子大小范围内,面积和体积之间具有近似线性的关系。尽管模型中的表面张力和压力项之间存在相当大的退化,但这两个项对于模型的广泛适用性都是重要的。

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