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A density fitting scheme for the fast evaluation of molecular electrostatic potential
Journal of Computational Chemistry ( IF 3.4 ) Pub Date : 2022-11-21 , DOI: 10.1002/jcc.27042
Yingfeng Zhang 1, 2 , Jian Zhao 3
Affiliation  

Molecular electrostatic potential (MEP) is a significant and crucial physical quantity that can be applied to a large number of scenarios, such as the prediction of nucleophilic or electrophilic attacks, fitting atomic charges, σ-hole, and so forth. The computational cost for the MEP has an O(N2) scaling with the increase of atoms, which is intractable and laborious for macromolecules. Herein, a density fitting molecular electrostatic potential (DF-MEP) is used to reduce the computational costs for the macromolecular MEP. It is found that the accuracy of DF-MEP is almost identical to the conventional molecular electrostatic potential (Conv-MEP), while the computational costs can be reduced to an O(N) scaling, for example, the computational time of 699,200 grids for the Trp-cage molecule (304 atoms) only takes 16.6 s at the B3LYP-D3(BJ)/def2-SVP level of theory with 16 CPU cores compared with 3060.2 s for the Conv-MEP method.

中文翻译:

一种快速评估分子静电势的密度拟合方案

分子静电势(Molecular electrostatic potential,MEP)是一个重要而关键的物理量,可以应用于大量场景,例如亲核或亲电攻击的预测、拟合原子电荷、σ-空穴等。MEP 的计算成本随着原子的增加呈O ( N 2 ) 比例,这对于大分子来说是棘手且费力的。在此,密度拟合分子静电势 (DF-MEP) 用于降低大分子 MEP 的计算成本。发现 DF-MEP 的精度几乎与传统的分子静电势 (Conv-MEP) 相同,而计算成本可以降低到O ( N)缩放,例如,Trp-cage 分子(304 个原子)的 699,200 个网格的计算时间在 B3LYP-D3(BJ)/def2-SVP 理论水平上仅需要 16.6 s,具有 16 个 CPU 内核,而 3060.2 s 为Conv-MEP 方法。
更新日期:2022-11-21
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