Insights into the inhibitory potential of novel hydrazinyl thiazole-linked indenoquinoxaline against alpha-amylase: a comprehensive QSAR, pharmacokinetic, and molecular modeling study.

IF 2.4 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Oussama Abchir, Imane Yamari, Amneh Mohammad Shtaiwi, Hassan Nour, Mhammed El Kouali, Mohammed Talbi, Abdelkbir Errougui, Samir Chtita
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Abstract

The rising prevalence of diabetes necessitates the development of novel drugs, especially given the side effects associated with current medications like Acarbose and Voglibose. A series of 36 Hydrazinyl thiazole-linked indenoquinoxaline derivatives with notable activity against alpha-amylase were studied. To create a molecular model predicting alpha-amylase activity, a QSAR study was performed on these compounds. Molecular descriptors were calculated using Chem3D and Gaussian software and then correlated with their IC50 biological activities to form a dataset. This model data was refined using PCA and modeled with MLR. The model's performance was statistically verified (R2 =0.800; Radj2 = 0.767; Rcv2 = 0.651) and its applicability domain was defined. It was predicted to possess high predictive power (Rtest2  = 0.872). Based on this, new compounds were proposed, and their activities were predicted using the developed model. Additionally, their binding ability to the biological target was studied through molecular docking and dynamics. Their pharmacokinetics were also evaluated using ADMET predictions. Two designed compounds named AE and AB emerged as particularly promising, displaying properties that suggest substantial therapeutic potential and they can form stable complexes into the binding pocket of alpha-amylase enzyme.

新型肼基噻唑连环茚喹喔啉对α-淀粉酶抑制潜力的见解:一项全面的 QSAR、药物动力学和分子建模研究。
随着糖尿病发病率的上升,有必要开发新型药物,尤其是考虑到阿卡波糖和伏格列波糖等现有药物的副作用。我们研究了一系列 36 种肼基噻唑连接的茚喹喔啉衍生物,它们对α-淀粉酶具有显著的活性。为了建立预测α-淀粉酶活性的分子模型,对这些化合物进行了 QSAR 研究。使用 Chem3D 和高斯软件计算了分子描述符,然后将其与 IC50 生物活性相关联,形成了一个数据集。使用 PCA 对模型数据进行了改进,并使用 MLR 建立了模型。该模型的性能经统计验证(R2 = 0.800;Radj2 = 0.767;Rcv2 = 0.651),并确定了其适用范围。据预测,它具有很高的预测能力(Rtest2 = 0.872)。在此基础上,提出了新的化合物,并利用开发的模型预测了它们的活性。此外,还通过分子对接和动力学研究了它们与生物靶标的结合能力。还利用 ADMET 预测对它们的药代动力学进行了评估。两个名为 AE 和 AB 的设计化合物特别有前途,它们显示出的特性表明它们具有巨大的治疗潜力,并能与α-淀粉酶的结合口袋形成稳定的复合物。
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 Biomolecular Structure & Dynamics
Journal of Biomolecular Structure & Dynamics 生物-生化与分子生物学
CiteScore
8.90
自引率
9.10%
发文量
597
审稿时长
2 months
期刊介绍: The Journal of Biomolecular Structure and Dynamics welcomes manuscripts on biological structure, dynamics, interactions and expression. The Journal is one of the leading publications in high end computational science, atomic structural biology, bioinformatics, virtual drug design, genomics and biological networks.
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