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靶向人类极光激酶C的新型抗癌药物探索

"Exploration of Novel Anticancerous Agents Targeting Human Aurora Kinase C".

作者信息

Gupta Deepali, Shukla Prakash Kumar, Chowdhury Subarnarekha, Kumari Supriya, Kaur Punit, Kumar Mukesh

机构信息

Department of Biophysics, All India Institute of Medical Sciences, Delhi, India.

Centre for Bio-Separation Technology, Vellore Institute of Technology, Vellore, India.

出版信息

J Cell Biochem. 2025 Mar;126(3):e70025. doi: 10.1002/jcb.70025.

Abstract

Aurora kinases (AKs), a family of serine/threonine kinases, play a vital role in chromosome segregation during the cell cycle (Mountzios et al., 2008). This family includes Aurora Kinase A (AKA), Aurora Kinase B (AKB), and Aurora Kinase C (AKC). AKA and AKB are active during mitosis, while AKC is involved mostly in germ cell as well as somatic cells. Elevated levels of AKC have been found in several cancer cell lines including breast, cervical, thyroid, colorectal, and liver cancers, making it a significant target for cancer therapy (Tang et al., 2017). In cancers such as glioblastoma and prostate cancer, for example, AKC up regulation has been associated with increased tumor aggressiveness, highlighting its potential role in tumor progression and poor prognosis. Our study employs computational methods, including molecular docking and structure-based virtual screening, to explore a data set of 2 65 241 compounds from the National Cancer Institute (NCI) database, focusing on AKC as a potential target for drug discovery. Through docking studies, several promising compounds that interact with the enzyme's ATP binding pocket, particularly with residues Phe54, Lys72, Ala123, Glu121 and Glu127 of AKC, were identified. The stability of these interactions was assessed through 200-ns molecular dynamics (MD) simulations, revealing that the majority of compounds exhibited stable interactions, while a few displayed fluctuations in their trajectories. Most compounds adhered to favorable pharmacokinetic properties. Comprehensive MD simulations and free energy calculations identified three top candidates (90 729, 37 623, and 134 546) with strong potential as potent inhibitors of AKC. Additional in vitro and in vivo studies are required to confirm the therapeutic potential of these candidates.

摘要

极光激酶(AKs)是丝氨酸/苏氨酸激酶家族,在细胞周期的染色体分离过程中起着至关重要的作用(Mountzios等人,2008年)。该家族包括极光激酶A(AKA)、极光激酶B(AKB)和极光激酶C(AKC)。AKA和AKB在有丝分裂期间活跃,而AKC主要参与生殖细胞以及体细胞。在包括乳腺癌、宫颈癌、甲状腺癌、结直肠癌和肝癌在内的几种癌细胞系中发现AKC水平升高,使其成为癌症治疗的重要靶点(Tang等人,2017年)。例如,在胶质母细胞瘤和前列腺癌等癌症中,AKC上调与肿瘤侵袭性增加有关,突出了其在肿瘤进展和预后不良中的潜在作用。我们的研究采用计算方法,包括分子对接和基于结构的虚拟筛选,来探索美国国立癌症研究所(NCI)数据库中的265241种化合物数据集,重点关注AKC作为药物发现的潜在靶点。通过对接研究,鉴定出了几种与该酶的ATP结合口袋相互作用的有前景的化合物,特别是与AKC的苯丙氨酸54、赖氨酸72、丙氨酸123、谷氨酸121和谷氨酸127残基相互作用的化合物。通过200纳秒的分子动力学(MD)模拟评估了这些相互作用的稳定性,结果表明大多数化合物表现出稳定的相互作用,但有一些在其轨迹中显示出波动。大多数化合物具有良好的药代动力学性质。全面的MD模拟和自由能计算确定了三种最有潜力的候选物(90729、37623和134546),它们作为AKC的有效抑制剂具有很强的潜力。需要进一步的体外和体内研究来证实这些候选物的治疗潜力。

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