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

IF 2.7 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Journal of molecular graphics & modelling Pub 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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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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