基于电子转变、分子反应性、氢键和稳定性的苯并咪唑共晶体筛选

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Molecular Modeling Pub Date : 2024-10-15 DOI:10.1007/s00894-024-06146-1
Tirth Raj Paneru, Manoj Kumar Chaudhary, Bhawani Datt Joshi, Poonam Tandon
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引用次数: 0

摘要

背景筛选活性药物成分的共晶体对药物化合物的开发非常重要,因为它能提高生物利用度、稳定性、溶解度和许多其他理化性质。在这项工作中,利用量子化学计算对苯并咪唑(BZN)原料药通过氢键与含有羧基的四种共成体(马来酸、丙二酸、草酸和水杨酸)的共晶体筛选进行了计算评估。苯并咪唑中咪唑环上的氮与辅甲酸的羧基通过强氢键连接形成杂合鞘氨醇。氢键相互作用 O-H...N 的强度是通过各种工具测量的。结果发现,与 BZN 与丙二酸、草酸和水杨酸的共晶体相比,BZN-马来酸共晶体中的 O-H...N 相互作用具有更高的作用能,表明其具有更强的氢键。经 ESP 分析证实,合成物的氢键 O-H...N 的强度比 C-H...O 的相互作用更有利。研究发现,BZN-水杨酸共晶体更具活性和极性,而 BZN-丙二酸共晶体则更为稳定。与原料药苯并咪唑相比,苯并咪唑的共晶体表现出更好的理化特性,这体现在最重要轨道间的电子转变特性上。使用 TD-DFT/6-311 + + G(d,p) 方法分析了溶剂水的紫外可见吸收光谱,并利用可极化连续模型确定了溶剂对共晶体的影响。利用热力学概率、ESP 分析、QTAIM 分析和 NBO 分析等工具,对上述每种共晶体中的氢键相互作用 O-H...N 的强度进行筛选。通过从 ESP 表面的最大值和最小值确定氢键的氢键供体(\({\alpha }_{\text{max}}/))和氢键受体({(\beta }_{\text{max}}/))参数来测量相互作用的配对能。GaussView 06 软件用于创建、可视化和绘制优化的共晶体结构和 HOMO-LUMO 轨道。AIMALL (10.05.04) 软件包生成了分子内和分子间相互作用的分子图。RDG 散点图、MEP 图和 ELF 图由 Multiwfn 8.0 和 VMD 1.9.1 软件绘制。
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Cocrystal screening of benznidazole based on electronic transition, molecular reactivity, hydrogen bonding, and stability

Context

Screening of cocrystals of active pharmaceutical ingredients is important in the development of pharmaceutical compounds because it improves bioavailability, stability, solubility, and many other physicochemical properties. In this work, quantum chemical calculations were utilized for the computational evaluation of the cocrystal screening of benznidazole (BZN) API via hydrogen bonding with four coformers (maleic acid, malonic acid, oxalic acid, and salicylic acid), and they contain carboxylic groups. The nitrogen of the imidazole ring in benznidazole and the carboxylic group of the coformer form a hetero-synthon connected by a strong hydrogen bond. The strength of the hydrogen bonding interaction O–H…N was measured using various tools. It was found that in comparison to BZN cocrystals with malonic acid, oxalic acid, and salicylic acid, the O–H…N interaction in the BZN-maleic acid cocrystal had higher interaction energy, indicating it had stronger hydrogen bonding. The strength of the hydrogen bond O–H…N for synthons was discovered to be more beneficial than the C–H…O interaction, as confirmed by ESP analysis. The BZN-salicylic acid cocrystal was found to be more reactive and polarizable, whereas the BZN-malonic acid cocrystal was more stable. Cocrystals of benznidazole exhibited better physicochemical characteristics than API benznidazole, as indicated by electron transition properties between the most significant orbitals.

Methods

The computational evaluation for the screening of benznidazole cocrystals was performed in Gaussian 16 software using density functional theory (DFT) with the hybrid functional B3LYP and the basis set 6–311 +  + G(d,p). The UV–Vis absorption spectrum in solvent water was analyzed using the TD-DFT/6–311 +  + G(d,p) method to determine the influence of the solvent in cocrystals using a polarizable continuum model. The strength of the hydrogen bonding interactions O–H…N in each of those mentioned cocrystals was used to screen the cocrystals using tools such as thermodynamic probability, ESP analysis, QTAIM analysis, and NBO analysis. The pairing energy of interaction was measured by determining H-bond donor (\({\alpha }_{\text{max}}\)) and H-bond acceptor \({(\beta }_{\text{max}}\)) parameters for hydrogen bonds from maxima and minima on the ESP surface. GaussView 06 software was used to create, visualize, and plot the optimized structure of the cocrystal and HOMO–LUMO orbitals. The AIMALL (10.05.04) software package generated the molecular graph for intra- and intermolecular interactions. The RDG-scatter plot, MEP map, and ELF plot were rendered from Multiwfn 8.0 and VMD 1.9.1 software.

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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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