Structural characterization of Aurora kinase B modulation by Epigallocatechin gallate: Insights from docking and dynamics simulations

IF 3 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Journal of molecular graphics & modelling Pub Date : 2025-05-01 Epub Date: 2025-02-01 DOI:10.1016/j.jmgm.2025.108973
Prashanth S. Javali, Kavitha Thirumurugan
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Abstract

Aurora Kinase B (AURKB) is crucial for chromosome alignment, segregation, and cytokinesis, phosphorylating essential proteins for accurate cell division. Mutations and overexpression of AURKB are common in various cancers. Inhibiting AURKB reduces therapy resistance, making it a promising therapeutic target. Synthetic inhibitors like AZD1152 and ZM447439 show selectivity for AURKB but often lack specificity due to high homology within the aurora kinase family. Conversely, natural molecules such as flavonoids offer selectivity, lower toxicity, and potential synergy with existing chemotherapies. Investigating natural AURKB inhibitors could lead to safer and more effective cancer treatments. Epigallocatechin-3-gallate (EGCG), a catechin ester in green tea, inhibits glioma cell line proliferation by inducing spontaneous apoptosis and reduces cancer cell invasiveness by decreasing metalloproteinase, cytokine, and chemokine activities. Additionally, EGCG inhibits several kinases, including PI3K, mTOR, EGFR, and AKT, acting as an effective ATP-competitive inhibitor. Thus, EGCG may enhance the efficacy of anti-cancer therapies as an AURKB inhibitor. This study used in silico tools to predict EGCG's pharmacodynamics and pharmacokinetics, and employed AutoDock for molecular docking with AURKB. The ligand-protein complex and Apo form of AURKB were simulated for 100 ns with GROMACS using the CHARM36 force field. Free energy surface analysis and MMPBSA methods confirmed the stability and spontaneity of EGCG binding to AURKB. The conformational dynamics of the DFG (Asp-Phe-Gly) motif in AURKB upon EGCG binding revealed significant changes crucial for ATP binding and kinase activity. The distance between the phenylalanine residue of the DFG motif and the αC helix in holo AURKB increased from 14.80 Å to 23.62 Å in the lowest free energy structure, indicating a shift from the DFG-in to the DFG-out state, affecting ATP binding. The study also noted transitions in the overall protein secondary structures, such as turn to coil, coil to sheet, and coil to helix, contributing to a stable structure upon EGCG binding. These findings highlight the complex interplay between EGCG and AURKB, providing insights into the conformational dynamics and structural alterations induced by this interaction, which has implications for reducing glioma cell chemosensitivity to therapeutic drugs.

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表没食子儿茶素没食子酸酯调节极光激酶B的结构表征:来自对接和动力学模拟的见解
极光激酶B (AURKB)对染色体排列,分离和细胞分裂至关重要,磷酸化准确的细胞分裂必需蛋白。AURKB的突变和过表达在各种癌症中都很常见。抑制AURKB可降低治疗耐药性,使其成为一个有希望的治疗靶点。合成抑制剂如AZD1152和ZM447439对AURKB具有选择性,但由于在极光激酶家族中具有高度同源性,通常缺乏特异性。相反,类黄酮等天然分子具有选择性、低毒性和与现有化疗的潜在协同作用。研究天然的AURKB抑制剂可能会带来更安全、更有效的癌症治疗。儿茶素EGCG (Epigallocatechin-3-gallate)是绿茶中的一种儿茶素酯,通过诱导自发凋亡抑制胶质瘤细胞系的增殖,并通过降低金属蛋白酶、细胞因子和趋化因子的活性降低癌细胞的侵袭性。此外,EGCG抑制多种激酶,包括PI3K、mTOR、EGFR和AKT,作为一种有效的atp竞争抑制剂。因此,EGCG可能作为一种AURKB抑制剂增强抗癌治疗的疗效。本研究使用硅工具预测EGCG的药效学和药代动力学,并使用AutoDock与AURKB进行分子对接。利用CHARM36力场,用GROMACS对AURKB的配体-蛋白复合物和载脂蛋白形态进行了100 ns的模拟。自由能表面分析和MMPBSA方法证实了EGCG与AURKB结合的稳定性和自发性。AURKB中DFG (asp - ph - gly)基序在EGCG结合后的构象动力学揭示了对ATP结合和激酶活性至关重要的重大变化。在holo AURKB中,DFG基序的苯丙氨酸残基与αC螺旋之间的距离从最低自由能结构的14.80 Å增加到23.62 Å,表明DFG-in状态向DFG-out状态转变,影响了ATP的结合。该研究还注意到整个蛋白质二级结构的转变,如转线圈,线圈到薄片,线圈到螺旋,有助于在EGCG结合时形成稳定的结构。这些发现强调了EGCG和AURKB之间复杂的相互作用,为这种相互作用诱导的构象动力学和结构改变提供了见解,这对降低胶质瘤细胞对治疗药物的化学敏感性具有重要意义。
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来源期刊
Journal of molecular graphics & modelling
Journal of molecular graphics & modelling 生物-计算机:跨学科应用
CiteScore
5.50
自引率
6.90%
发文量
216
审稿时长
35 days
期刊介绍: The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design. As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.
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