揭示新型 1,2,4-三嗪-6H-吲哚并[2,3-b]喹啉衍生物系列的抗惊厥潜力:硅学分子对接、ADMET、DFT 和分子动力学探索。

IF 1.5 4区 医学 Q4 CHEMISTRY, MEDICINAL
Hariram Singh, Devender Pathak
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引用次数: 0

摘要

背景:癫痫是一种由大脑不规则电活动引起的慢性神经系统疾病。为了有效控制这种疾病,必须确定潜在的药理靶点并深入了解癫痫的病理生理学:本研究旨在从 1,2,4-三嗪-6-吲哚并[2,3-b]喹啉衍生物库中找出有前景的线索,并利用硅学和动态过程对其进行优化:我们利用计算研究来研究 1,2,4-三嗪-6H-吲哚并[2,3-b]喹啉衍生物。我们使用了一些方法来加强结合位点的稳定性,包括对接、ADMET、IFD、MMGBSA、密度泛函理论(DFT)和分子动力学:与标准药物(卡马西平和苯妥英)和共晶体配体(地西泮)相比,HRSN24和HRSN34表现出良好的药代动力学和药效学特征。HRSN24和HRSN34的Glide Xp对接得分(-4.528和-4.633 Kcal/mol)、IFD得分(-702.22和-700.3 Kcal/mol)和MMGBSA得分(-45.71和-14.46 Kcal/mol)均十分显著。HRSN24 被选中进行分子动力学和 DFT 分析。在 MD 过程中,HRSN24 发现 LYS21、GLY22、ASP24、ARG26、VAL53、MET55 和 SER308 是疏水相互作用最重要的氨基酸残基。通过 DFT 计算确定了 HRSN24 的理化性质,结果显示其总能量为 -1362.28 原子单位,HOMO 值为 -0.20186,LUMO 值为 -0.01915:基于计算模型技术,对一系列 1,2,4-三嗪-6H-吲哚并[2,3-b]喹啉衍生物的抗惊厥特性进行了评估。通过 HRSN24 鉴定出了 GABAA 受体内的一种稳定化合物,表明它具有抗惊厥的亲和力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unveiling the Anti-convulsant Potential of Novel Series of 1,2,4-Triazine- 6H-Indolo[2,3-b]quinoline Derivatives: In Silico Molecular Docking, ADMET, DFT, and Molecular Dynamics Exploration.

Background: Epilepsy is a chronic neurological disorder caused by irregular electrical activity in the brain. To manage this disorder effectively, it is imperative to identify potential pharmacological targets and to understand the pathophysiology of epilepsy in depth.

Objective: This research aimed to identify promising leads from a library of 1,2,4-triazine-6Hindolo[ 2,3-b]quinoline derivatives and optimize them using in silico and dynamic processes.

Methods: We used computational studies to examine 1,2,4-Triazine-6H-indolo[2,3-b]quinoline derivatives. Some methods were used to strengthen the stability of binding sites, including Docking, ADMET, IFD, MMGBSA, Density Functional Theory (DFT), and Molecular Dynamics.

Results: HRSN24 and HRSN34 exhibited promising pharmacokinetic and pharmacodynamic characteristics compared to standard drugs (Carbamazepine and Phenytoin) and a co-crystal ligand (Diazepam). Both HRSN24 and HRSN34 presented notable Glide Xp docking scores (-4.528 and -4.633 Kcal/mol), IFD scores (-702.22 and -700.3 Kcal/mol), and MMGBSA scores (-45.71 and -14.46 Kcal/mol). HRSN24 was selected for molecular dynamics and DFT analysis. During MD, HRSN24 identified LYS21, GLY22, ASP24, ARG26, VAL53, MET55, and SER308 as the most important amino acid residues for hydrophobic interactions. A DFT computation was performed to determine the physicochemical properties of HRSN24, revealing a total energy of -1362.28 atomic units, a HOMO value of -0.20186, and a LUMO value of -0.01915.

Conclusion: Based on computational modelling techniques, an array of 1,2,4-triazine-6H-indolo [2,3-b]quinoline derivatives were evaluated for their anti-convulsant properties. A stable compound within the GABAA receptor was identified by HRSN24, suggesting its affinity as an anti-convulsant.

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来源期刊
Current computer-aided drug design
Current computer-aided drug design 医学-计算机:跨学科应用
CiteScore
3.70
自引率
5.90%
发文量
46
审稿时长
>12 weeks
期刊介绍: Aims & Scope Current Computer-Aided Drug Design aims to publish all the latest developments in drug design based on computational techniques. The field of computer-aided drug design has had extensive impact in the area of drug design. Current Computer-Aided Drug Design is an essential journal for all medicinal chemists who wish to be kept informed and up-to-date with all the latest and important developments in computer-aided methodologies and their applications in drug discovery. Each issue contains a series of timely, in-depth reviews, original research articles and letter articles written by leaders in the field, covering a range of computational techniques for drug design, screening, ADME studies, theoretical chemistry; computational chemistry; computer and molecular graphics; molecular modeling; protein engineering; drug design; expert systems; general structure-property relationships; molecular dynamics; chemical database development and usage etc., providing excellent rationales for drug development.
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