GC-MS analysis, pharmacokinetic properties, molecular docking and dynamics simulation of bioactives from Curcumis maderaspatanus to target oral cancer.

In silico pharmacology Pub Date : 2024-03-11 eCollection Date: 2024-01-01 DOI:10.1007/s40203-023-00177-x
Ronisha Shankar Rao, Deepak Saravanan, Monisha Mohan
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Abstract

Oral cancer (OC) which is the most predominant malignant epithelial neoplasm in the oral cavity, is the 8th commonest type of cancer globally. Natural products are excellent sources of functionally active compounds and essential nutrients that play an important role in cancer therapeutics. Using the structure-based virtual screening, drug-likeness, toxicity, and molecular dynamics simulation, the current study focused on the evaluation of anticancer activity of bioactive compounds from Curcumis maderaspatanus. AURKA, CDK1, and VEGFR-2 proteins which play a crucial role in the development and progression of oral cancer was selected as targets and 216 phytochemicals along with a known reference inhibitor were docked against these target proteins. Based on the docking score, it was found that phytochemicals namely 3-Benzoyl-2,4(1H,3H)-Pyrimidinedione (- 8.0 kcal/mol), 1-Cyclohexylethanol, trifluoroacetate (- 6.3 kcal/mol), and Alpha-Curcumene (- 8.9 kcal/mol) interacts with AURKA, CDK1, and VEGFR-2 with highest binding affinity. The molecular dynamics simulation demonstrated that the best docked complexes exhibited excellent structural stability in terms of RMSD, RSMF, SASA and Rg for a period of 100 ns. Altogether, our computational analysis reveals that the bioactives from C. maderaspatanus could emerge as efficacious drug candidates in oral cancer therapy.

Graphical abstract:

Supplementary information: The online version contains supplementary material available at 10.1007/s40203-023-00177-x.

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针对口腔癌的莪术生物活性物质的气相色谱-质谱分析、药效学特性、分子对接和动力学模拟。
口腔癌(OC)是口腔中最主要的恶性上皮肿瘤,是全球第八大常见癌症类型。天然产品是功能活性化合物和必需营养素的极佳来源,在癌症治疗中发挥着重要作用。本研究利用基于结构的虚拟筛选、药物相似性、毒性和分子动力学模拟,重点评估了莪术中生物活性化合物的抗癌活性。研究选取了在口腔癌发生和发展过程中起关键作用的 AURKA、CDK1 和 VEGFR-2 蛋白作为靶标,并将 216 种植物化学物质和一种已知的参考抑制剂与这些靶标蛋白进行了对接。根据对接得分发现,3-苯甲酰基-2,4(1H,3H)-嘧啶二酮(- 8.0 kcal/mol)、1-环己基乙醇、三氟乙酸盐(- 6.3 kcal/mol)和α-莪术烯(- 8.9 kcal/mol)等植物化学物质与 AURKA、CDK1 和 VEGFR-2 的结合亲和力最高。分子动力学模拟结果表明,在 100 毫微秒的时间内,最佳对接复合物在 RMSD、RSMF、SASA 和 Rg 方面都表现出了极佳的结构稳定性。总之,我们的计算分析表明,C. maderaspatanus 的生物活性物质可作为有效的候选药物用于口腔癌治疗:在线版本包含补充材料,可查阅 10.1007/s40203-023-00177-x。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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