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基于周期性边界条件下静电嵌入密度泛函紧束缚/分子力学的自由能评估

Assessment of Free Energies From Electrostatic Embedding Density Functional Tight Binding-Based/Molecular Mechanics in Periodic Boundary Conditions.

作者信息

Bonfrate Simone, Park Woojin, Trejo-Zamora Dulce, Ferré Nicolas, Ho Choi Cheol, Huix-Rotllant Miquel

机构信息

Aix Marseille Univ, CNRS, ICR, Marseille, France.

Department of Chemistry, Kyungpook National University, Daegu, South Korea.

出版信息

J Comput Chem. 2025 Apr 30;46(11):e70107. doi: 10.1002/jcc.70107.

DOI:10.1002/jcc.70107
PMID:40260846
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12012883/
Abstract

Electrostatic embedding quantum mechanics/molecular mechanics (QM/MM) methods in periodic boundary conditions (PBC) can successfully describe the condensed phase reactivity of a fragment treated at the QM level with an atomistic description of an electrostatic environment treated at the MM level. The computational cost of ab initio QM methods limits the phase space sampling, thus affecting statistical quantities like free energies. Here, we describe the implementation of a PBC-adapted QM/MM model based on the semi-empirical density-functional based tight-binding (DFTB) method within the GAMESS-US quantum package interfaced with Tinker. Further, we take advantage of the free energy methods provided by a newly developed interface with the PLUMED plugin. The versatility of the implementation is illustrated by the prediction of the free energy profile for three different families of reactions in solution. Overall, using the DFTB/MM, it has been possible to obtain results that are at least in a qualitatively agreement with respect to the experimental data or high-level ab initio simulations.

摘要

在周期性边界条件(PBC)下的静电嵌入量子力学/分子力学(QM/MM)方法能够成功描述在QM水平处理的片段的凝聚相反应性,并结合在MM水平处理的静电环境的原子描述。从头算QM方法的计算成本限制了相空间采样,从而影响诸如自由能等统计量。在此,我们描述了一种基于半经验密度泛函紧束缚(DFTB)方法的PBC适配QM/MM模型的实现,该模型在与Tinker接口的GAMESS-US量子程序包中。此外,我们利用了与PLUMED插件新开发的接口提供的自由能方法。通过预测溶液中三种不同反应族的自由能分布,说明了该实现的通用性。总体而言,使用DFTB/MM能够获得至少在定性上与实验数据或高水平从头算模拟一致的结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/513d/12012883/ef18c907f9ee/JCC-46-0-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/513d/12012883/fb5cd264c4cc/JCC-46-0-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/513d/12012883/c1860161d27b/JCC-46-0-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/513d/12012883/5365a89a5b13/JCC-46-0-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/513d/12012883/ef18c907f9ee/JCC-46-0-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/513d/12012883/fb5cd264c4cc/JCC-46-0-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/513d/12012883/c1860161d27b/JCC-46-0-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/513d/12012883/5365a89a5b13/JCC-46-0-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/513d/12012883/ef18c907f9ee/JCC-46-0-g004.jpg

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