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揭示丹参素钠针对宫颈癌的多靶点效力:基于多靶点对接、结构指纹图谱和分子动力学模拟研究。

Unveiling the multitargeted potency of Sodium Danshensu against cervical cancer: a multitargeted docking-based, structural fingerprinting and molecular dynamics simulation study.

机构信息

Laboratory Medicine Department, Faculty of Applied Medical Sciences, Umm Al-Qura University, Makkah, Kingdom of Saudi Arabia.

Department of Biochemistry, College of Science, University of Jeddah, Jeddah, Kingdom of Saudi Arabia.

出版信息

J Biomol Struct Dyn. 2024 Oct;42(16):8268-8280. doi: 10.1080/07391102.2023.2248260. Epub 2023 Aug 20.

Abstract

Cervical Cancer (CC) is one of the most common types of cancer in women worldwide, with a significant number of deaths reported yearly. Despite the various treatment options available, the high mortality rate associated with CC highlights the need to develop new and effective therapeutic agents. In this study, we have screened the complete prepared FDA library against the Mitotic kinesin-like protein 1, Cyclin B1, DNA polymerase, and MCM10-ID using three glide-based molecular docking algorithms: HTVS, SP and XP to produce a robust calculation. All four proteins are crucial proteins that actively participate in CC development, and inhibiting them together can be a game-changer step for multitargeted drug designing. Our multitargeted screening identified Sodium (Na) Danshensu, a natural FDA-approved phenolic compound of caffeic acid derivatives isolated from . The docking score ranges from -5.892 to -13.103 Kcal/mol, and the screening study was evaluated with the pharmacokinetics and interaction fingerprinting to identify the pattern of interactions that revealed that the compound has bound to the best site it can be fitted to where maximum bonds were created to make the complex stable. The molecular dynamics simulations for 100 ns were then extended to validate the stability of the protein-ligand complexes. The results provide insight into the repurposing, and Na-danshensu exhibited strong binding affinity and stable complex formation with the target proteins, indicating its potential as a multitargeted drug against CC.Communicated by Ramaswamy H. Sarma.

摘要

宫颈癌(CC)是全球女性最常见的癌症类型之一,每年报告的死亡人数众多。尽管有各种治疗选择,但与 CC 相关的高死亡率突出表明需要开发新的有效治疗药物。在这项研究中,我们使用三种基于滑行的分子对接算法(HTVS、SP 和 XP)对完整的已批准 FDA 库进行了针对有丝分裂驱动蛋白样蛋白 1、细胞周期蛋白 B1、DNA 聚合酶和 MCM10-ID 的筛选,以产生稳健的计算。这四种蛋白质都是在 CC 发展中积极参与的关键蛋白,同时抑制它们可能是针对多靶点药物设计的改变游戏规则的一步。我们的多靶点筛选鉴定了丹参素钠,这是一种从丹参中分离出来的天然 FDA 批准的咖啡酸衍生物酚类化合物。对接评分范围为-5.892 至-13.103 Kcal/mol,筛选研究通过药代动力学和相互作用指纹图谱进行了评估,以确定相互作用模式,揭示化合物已结合到最佳位置,它可以拟合到最大键被创建以使复合物稳定的位置。然后将 100 ns 的分子动力学模拟延长以验证蛋白质-配体复合物的稳定性。研究结果为重新利用提供了深入了解,丹参素钠与靶蛋白表现出强烈的结合亲和力和稳定的复合物形成,表明其作为针对 CC 的多靶点药物的潜力。由 Ramaswamy H. Sarma 传达。

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