Insights from in silico exploration of major curcumin analogs targeting human dipeptidyl peptidase IV.

IF 2.7 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Miah Roney, Amit Dubey, Abdul Rashid Issahaku, Md Nazim Uddin, Aisha Tufail, Anke Wilhelm, Normaiza Binti Zamri, Mohd Fadhlizil Fasihi Mohd Aluwi
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引用次数: 0

Abstract

The goal of this work is to use a variety of in-silico techniques to identify anti-diabetic agents against DPP-IV enzyme from five main curcumin analogues. To produce the successful molecules, five main curcumin analogues were docked into the active site of DPP-IV enzyme. In comparison to the control molecule (Saxagliptin, -6.9 kcal/mol), all the compounds have the highest binding affinity (-7.6 to -7.7 kcal/mol) for the DPP-IV enzyme. These compounds underwent further testing for studies on drug-likeness, pharmacokinetics, and acute toxicity to see the efficacy and safety of compounds. To assess the stability of the docking complex and the binding posture identified during the docking experiment, our study got THC as the lead compound, which was then exposed to 200 ns of molecular dynamic simulation and PCA analysis. Additionally, DFT calculations were conducted to determine the thermodynamic, molecular orbital, and electrostatic potential characteristics of lead compound. Overall, the lead chemical has shown strong drug-like properties, is non-toxic, and has a sizable affinity for the DPP-IV enzyme.

针对人类二肽基肽酶 IV 的主要姜黄素类似物的硅学探索启示。
这项研究的目的是利用多种内嵌技术,从五种主要姜黄素类似物中找出针对 DPP-IV 酶的抗糖尿病药物。为了制备成功的分子,我们将五种主要姜黄素类似物与 DPP-IV 酶的活性位点对接。与对照分子(沙格列汀,-6.9 kcal/mol)相比,所有化合物与 DPP-IV 酶的结合亲和力最高(-7.6 至 -7.7 kcal/mol)。这些化合物还进行了进一步的药物相似性、药代动力学和急性毒性测试,以了解化合物的有效性和安全性。为了评估对接复合物的稳定性和对接实验中确定的结合位置,我们的研究以 THC 为先导化合物,然后对其进行了 200 ns 的分子动力学模拟和 PCA 分析。此外,我们还进行了 DFT 计算,以确定先导化合物的热力学、分子轨道和静电位特征。总体而言,该先导化合物具有很强的类药物特性,无毒,并且对 DPP-IV 酶有相当大的亲和力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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