Synergistic in silico exploration of some pyrazole-based potential anticancer agents: a DFT, molecular docking, and molecular dynamics study

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Pratyashee Barukial, Rajib Nandi, Nipu Kumar Das, Rituraj Barman, Benzir Ahmed, Gunolla Nagendraprasad, Tamal Banerjee, Bipul Bezbaruah
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引用次数: 0

Abstract

Context

Understanding the interaction between therapeutic molecules with in vivo receptors is very essential in developing potential anticancer agents. In recent years, pyrazole derivatives have been evolving as a significant bioactive candidate due to their remarkable pharmacological properties in novel drug design and discovery. Herein, we present a comprehensive computational and theoretical analysis of some selected pyrazole derivatives with potential anticancer properties, employing quantum chemical calculations, molecular docking, and molecular dynamics simulation.

Method

In this study, quantum chemical calculations were employed using density functional theory (DFT) with B3LYP functional and 6–31G(d,p) basis set in Gaussian16 to investigate the electronic properties and intermolecular interactions of pyrazole derivatives. Natural bond orbital (NBO) analysis was performed to explore charge distribution and donor–acceptor interactions. Similarly, advanced topological analyses, viz., reduced density gradient (RDG), quantum theory of atoms in molecules (QTAIM), electron localisation function (ELF), localised orbital indicator (LOL), and electrostatic potential (ESP), to characterise intermolecular interactions and electron density features. Molecular docking studies were conducted to assess the binding affinity of the pyrazole derivatives with DNA (PDB ID: 2m2c), specifically focussing on interactions with base pairs. Molecular dynamics simulations were employed to examine the stability and characteristics of interactions over a prolonged timescale. This comprehensive approach integrates quantum chemical tools, molecular docking, and molecular dynamics simulations to elucidate the interaction mechanisms between pyrazole derivatives and DNA nucleobases, enhancing their potential novelty as anticancer agents.

Graphical abstract

基于吡唑的潜在抗癌药物在硅中的协同作用:DFT、分子对接和分子动力学研究
了解治疗分子与体内受体之间的相互作用对于开发潜在的抗癌药物至关重要。近年来,吡唑衍生物由于其在新药设计和发现中的显著药理特性而成为一种重要的生物活性候选药物。在此,我们采用量子化学计算、分子对接和分子动力学模拟等方法,对一些具有潜在抗癌特性的吡唑衍生物进行了全面的计算和理论分析。方法采用密度泛函理论(DFT),采用B3LYP泛函和6-31G (d,p) gasian16基,利用量子化学计算方法研究吡唑衍生物的电子性质和分子间相互作用。自然键轨道(NBO)分析探讨了电荷分布和供体-受体相互作用。同样,先进的拓扑分析,即减少密度梯度(RDG),分子中原子的量子理论(QTAIM),电子定位函数(ELF),局域轨道指示符(LOL)和静电势(ESP),表征分子间相互作用和电子密度特征。分子对接研究评估了吡唑衍生物与DNA (PDB ID: 2m2c)的结合亲和力,特别关注与碱基对的相互作用。分子动力学模拟被用来检查的稳定性和相互作用的特点,在一个较长的时间尺度。该综合方法集成了量子化学工具、分子对接和分子动力学模拟,阐明了吡唑衍生物与DNA核碱基之间的相互作用机制,增强了它们作为抗癌药物的潜在新颖性。图形抽象
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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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