Interactions of imidazole with water molecules

IF 2.5 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Alhadji Malloum, Jeanet Conradie
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引用次数: 0

Abstract

Context

Understanding the interactions of imidazole and water molecules is essential for several chemical and biological activities. Literature mining shows that investigations of hydrated imidazole are rare. In this work, interactions between imidazole and explicit water molecules are investigated. The structures of the complexes formed by imidazole and water molecules are used to estimate imidazole’s hydration enthalpy and free energy. QTAIM investigation shows that imidazole accepts two strong hydrogen bondings while donating one. In addition, it also interacts with water molecules through weaker bonding interactions. The results reported in this work reproduce previous experimental observations and molecular dynamics simulations.

Methods

The investigation started by generating initial configurations through global optimizations using classical potential energy. Then, a suitable functional of density functional theory (DFT) is selected between 20 functionals, including dispersion corrections, by benchmarking to the DLPNO-CCSD(T1)/CBS. The M06L-D3 functional is found to be the most accurate. The structures of the imidazole-water clusters, \(\text {IMZ}(\text {H}_2\text {O})_n\), \(n=1-12,\;64\), are then optimized at the M06L-D3/def2-TZVPP level of theory. Hydration free energy and enthalpy are estimated using the cluster continuum solvation model. Calculations are performed using Gaussian 16 and ORCA suite of programs. Quantum theory of atoms in molecules (QTAIM) is performed using the AIMAll program.

咪唑与水分子的相互作用。
背景:了解咪唑和水分子的相互作用对许多化学和生物活动至关重要。文献挖掘表明,水合咪唑的研究是罕见的。在这项工作中,咪唑和外显水分子之间的相互作用进行了研究。用咪唑与水分子形成的配合物的结构来估计咪唑的水化焓和自由能。QTAIM研究表明咪唑在提供一个氢键的同时接受两个强氢键。此外,它还通过较弱的键相互作用与水分子相互作用。本研究报告的结果再现了先前的实验观察和分子动力学模拟。方法:利用经典势能进行全局优化,生成初始构型。然后,通过对DLPNO-CCSD(T1)/CBS进行基准测试,在包括色散校正在内的20个泛函中选择合适的密度泛函理论(DFT)泛函。M06L-D3功能被发现是最准确的。然后在理论M06L-D3/def2-TZVPP水平上对咪唑-水团簇IMZ (h2o) n, n = 1 ~ 12,64的结构进行了优化。利用簇连续溶剂化模型估计了水化自由能和焓。计算使用高斯16和ORCA套件程序进行。分子中原子的量子理论(QTAIM)是用AIMAll程序进行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
期刊介绍: The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling. Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry. Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.
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