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脯氨酰寡肽酶中抑制剂结合的结构可视化

Structural visualization of inhibitor binding in prolyl oligopeptidase.

作者信息

Walczewska-Szewc Katarzyna, Rydzewski Jakub

机构信息

Institute of Physics, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University in Toruń, ul. Grudziądzka 5, 87-100 Toruń, Poland.

出版信息

Biophys Rev (Melville). 2024 Aug 22;5(3):032105. doi: 10.1063/5.0226428. eCollection 2024 Sep.

Abstract

The association and dissociation of proteins and ligands are crucial in biophysics for potential drug development [Baron and McCammon, Annu. Rev. Phys. Chem. , 151-175 (2013)]. However, identifying and characterizing the reaction pathways for these rare events has been a long-standing challenge. Molecular dynamics (MD) simulations are limited in exploring biophysical processes on experimental timescales, so ligand transport processes through complex transient tunnels formed by proteins during dynamics are often simulated using enhanced sampling MD [Rydzewski and Nowak, Phys. Life Rev. , 58-74 (2017)]. Erroneously identified ligand binding pathways can affect thermodynamic and kinetic characteristics calculated from MD trajectories. A system that has the potential to be a therapeutic target for neurodegenerative diseases is prolyl oligopeptidase (PREP). This is due to its involvement in promoting protein aggregation and disrupting cellular function through affecting protein-protein interactions (PPI). The recent discovery of a new type of PREP inhibitor that targets PPI raises important questions about the diversity of ligand binding pathways in PREP and their impact on protein dynamics [Pätsi , J. Med. Chem. , 5421-5436 (2024); Kilpeläinen , J. Med. Chem. , 7475-7496 (2023); and Walczewska-Szewc , Phys. Chem. Chem. Phys. , 4366-4373 (2022)]. In this article, using results from enhanced sampling MD, we visually present how the binding process in PREP depends on subtle changes in inhibitors, which could be crucial in treating neurodegenerative disorders.

摘要

蛋白质与配体的结合和解离在生物物理学中对于潜在药物开发至关重要[巴伦和麦卡蒙,《物理化学年度评论》,第151 - 175页(2013年)]。然而,识别和表征这些罕见事件的反应途径一直是一项长期挑战。分子动力学(MD)模拟在探索实验时间尺度上的生物物理过程时存在局限性,因此在动力学过程中配体通过蛋白质形成的复杂瞬态通道的传输过程通常使用增强采样MD进行模拟[雷兹夫斯基和诺瓦克,《物理生命评论》,第58 - 74页(2017年)]。错误识别的配体结合途径会影响从MD轨迹计算出的热力学和动力学特征。脯氨酰寡肽酶(PREP)是一个有可能成为神经退行性疾病治疗靶点的系统。这是因为它通过影响蛋白质 - 蛋白质相互作用(PPI)参与促进蛋白质聚集并破坏细胞功能。最近发现的一种针对PPI的新型PREP抑制剂引发了关于PREP中配体结合途径的多样性及其对蛋白质动力学影响的重要问题[帕齐,《药物化学杂志》,第5421 - 5436页(2024年);基尔佩莱宁,《药物化学杂志》,第7475 - 7496页(2023年);以及瓦尔采夫斯卡 - 谢夫茨,《物理化学化学物理》,第4366 - 4373页(2022年)]。在本文中,我们利用增强采样MD的结果,直观地展示了PREP中的结合过程如何依赖于抑制剂的细微变化,这对于治疗神经退行性疾病可能至关重要。

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Structural visualization of inhibitor binding in prolyl oligopeptidase.脯氨酰寡肽酶中抑制剂结合的结构可视化
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