Structural and dynamical insights revealed the anti-glioblastoma potential of withanolides from Withania coagulans against vascular endothelial growth factor receptor (VEGFR)

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Khair Bux, Irsa Asim, Zainab Ismail, Samaha Hussain, Ralf Herwig
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引用次数: 0

Abstract

Context

Glioblastoma (GBM), well known as grade 4 tumors due to its progressive malignant features such as vascular proliferation and necrosis, is the most aggressive form of primary brain tumor found in adults. Mutations and amplifications in the vascular endothelial growth factor receptor (VEGFR) contribute to almost 25% of GBM tumors. And thus, VEGFR has been declared the primary target in glioblastoma therapeutic strategies. However, many studies have been previously reported that include GBM as global therapeutics challenge, but they lack the molecular level insights that could help in understanding the biological function of a therapeutically important protein playing a major role in the disease and design the best strategies to develop the potential drugs.

Methods

Therefore, to the best of our knowledge, the present study is the first time of kind, which involves multi-in silico approaches to predict the inhibition potential of withanolides from Withania coagulan against VEGFR. The study is actually based on determining the mode of action of five isolates: withanolide J, withaperuvin, 27-hydroxywithanolide I, coagule E, and coagule E, along with their respective binding energies. Molecular docking simulations revealed primarily four ligands, withanolide J (− 7.33 kJ/mol), 27-withanolide (− 7.01 kJ/mol), ajugine, withaperuvin (− 6.89 kJ/mol), and ajugine E (− 6.39 kJ/mol), to have significant binding potencies against the protein. Ligand binding was found to enhance the confirmational stability of the protein revealed through RMSD analysis, and RMSF assessment revealed the protein residues especially from 900–1000 surrounding the binding of the protein. Structural and dynamics of the protein via dynamics cross-correlation movement (DCCM) and principal component analysis (PCA) in both the unbound form and complexed with most potent ligand, withanolide J, reveal the ligand binding affecting the entire conformational integrity of the protein stabilized by hydrogen bonds and electrostatic attractions. Free energy of binding estimations by means of molecular mechanics Poisson-Boltzmann surface area (MMPBSA) method further revealed the withanolide J to have maximum binding potency of the all ligands. Withanolide J in final was also found to have suitable molecular characterizations to cross the blood–brain barrier (BBB +) and reasonable human intestinal absorption ability determined by ADMET profiling via admetSAR tools.

Graphical abstract

从结构和动力学角度揭示了薇甘菊中的薇甘菊苷对血管内皮生长因子受体(VEGFR)的抗胶质母细胞瘤潜力。
背景:胶质母细胞瘤(GBM)因其血管增生和坏死等进行性恶性特征而被称为四级肿瘤,是成人中最具侵袭性的原发性脑肿瘤。血管内皮生长因子受体(VEGFR)的突变和扩增导致了近25%的GBM肿瘤。因此,血管内皮生长因子受体已被宣布为胶质母细胞瘤治疗策略的主要靶点。然而,此前已有许多研究将 GBM 作为全球治疗难题,但这些研究缺乏分子水平的深入研究,而这些深入研究有助于了解在该疾病中发挥重要作用的重要治疗蛋白的生物学功能,并设计出开发潜在药物的最佳策略:因此,据我们所知,本研究是首次采用多元硅学方法预测薇甘菊内酯对血管内皮生长因子受体(VEGFR)的抑制潜力。这项研究实际上是基于确定五种分离物的作用模式及其各自的结合能,这五种分离物是:连翘内酯 J、连翘素、27-羟基连翘内酯 I、凝血素 E 和凝血素 E。分子对接模拟显示,主要是四种配体(withanolide J(- 7.33 kJ/mol)、27-withanolide(- 7.01 kJ/mol)、ajugine、withaperuvin(- 6.89 kJ/mol)和 ajugine E(- 6.39 kJ/mol))对蛋白质具有显著的结合效力。通过 RMSD 分析发现,配体结合增强了蛋白质的确认稳定性,RMSF 评估显示,蛋白质残基尤其是 900-1000 个残基与蛋白质结合。通过动态交叉相关运动(DCCM)和主成分分析(PCA)对蛋白质的结构和动态进行分析,发现蛋白质在未结合和与最有效的配体--withanolide J--复合时,配体的结合会影响蛋白质在氢键和静电吸引作用下稳定的整个构象完整性。通过分子力学泊松-玻尔兹曼表面积(MMPBSA)方法估算的结合自由能进一步表明,在所有配体中,与山奈内酯 J 的结合效力最大。通过admetSAR工具进行的ADMET分析还发现,最终的睡茄素内酯J具有穿过血脑屏障(BBB +)的合适分子特征和合理的人体肠道吸收能力。
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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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