毛藻天然化合物作为潜在的HCC和HepG2抑制剂:药效团开发、分子对接、MD模拟和DFT方法的综合研究

IF 1.9 4区 医学 Q3 CHEMISTRY, MEDICINAL
Aniqa Moveed, Shagufta Parveen, Nusrat Shafiq, Awais Ali, Maryam Rashid, Mohammed Bourhia, Fouad Msanda, Ahmad Mohammad Salamatullah, Simone Brogi
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引用次数: 0

摘要

背景:世界范围内肝癌发病率的上升使其成为发现新药或重新利用现有药物的一个突出研究领域。方法:本文描述了毛藻次级代谢产物对人肝癌细胞株肝细胞癌(HCC)和肝癌G2 (HepG2)抑制作用的基于药团的构效关系(3DQSAR),代表了对毛藻分离植物化学物质的分子水平认识。确定的特征,如疏水区域,平均形状和活性化合物的静电模式,绘制筛选植物化学物质。3D-QSAR模型生成基于药效团的描述符和活性化合物的排列。进一步,对活性化合物进行对接研究,以检查其与靶蛋白活性位点的结合亲和力。通过分子模拟进一步验证了该方法的正确性。利用密度泛函理论(DFT)计算了命中化合物的几何优化和能隙。然后,对该命中化合物进行ADMET检测药物样特征和毒性。结果:59个化合物中,8个配体在3D-QSAR研究后发现有活性。之后,对活性化合物F72、F52、F54、F29、F37、F38、F25、F29进行分子对接,确认其为潜在靶点,对接结果显示化合物F52(也是fda批准的药物)命中效果最佳。F52对肝癌细胞系HCC和HepG2的杀伤效果最好。结论:本研究有助于药物的早期发现优化和先导物的鉴定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Natural Compounds from Alhagi maurorum as Potential HCC and HepG2 Inhibitors: An Integrated Study using Pharmacophore Development, Molecular Docking, MD Simulation, and DFT Approaches.

Background: The rise in the frequency of liver cancer all over the world makes it a prominent area of research in the discovery of new drugs or repurposing of existing drugs.

Methods: This article describes the pharmacophore-based structure-activity relationship (3DQSAR) on the secondary metabolites of Alhagi maurorum to inhibit human liver cancer cell lines Hepatocellular carcinoma (HCC) and hepatoma G2 (HepG2) which represents the molecular level understanding for isolated phytochemicals of Alhagi maurorum. The definite features, such as hydrophobic regions, average shape, and active compounds' electrostatic patterns, were mapped to screen phytochemicals. The 3D-QSAR model generates pharmacophore-based descriptors and alignment of active compounds. Further, docking studies were performed on the active compounds to check out their binding affinity with the active site of the target proteins. It was further validated by applying molecular simulations, and the results were found to be accurate. The geometrical optimization and energy gap of the hit compound were calculated by the density functional theory (DFT). Then, ADMET was performed on this hit compound for drug-like features and toxicity.

Result: Out of 59 compounds, eight ligands were found active after the 3D-QSAR study. After that, molecular docking was performed on the active compounds F72, F52, F54, F29, F37, F38, F25, and F29, which were recognized as potential targets, and the docking results showed that compound F52 (also an FDA-approved drug) was the best hit. F52 was found to be the best hit against liver cancer cell lines HCC and HepG2.

Conclusion: This study would be helpful for early drug discovery optimization and lead identification.

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来源期刊
Medicinal Chemistry
Medicinal Chemistry 医学-医药化学
CiteScore
4.30
自引率
4.30%
发文量
109
审稿时长
12 months
期刊介绍: Aims & Scope Medicinal Chemistry a peer-reviewed journal, aims to cover all the latest outstanding developments in medicinal chemistry and rational drug design. The journal publishes original research, mini-review articles and guest edited thematic issues covering recent research and developments in the field. Articles are published rapidly by taking full advantage of Internet technology for both the submission and peer review of manuscripts. Medicinal Chemistry is an essential journal for all involved in drug design and discovery.
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