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基于齐墩果酸的α,β-不饱和酮类新型衍生物的合成及抗癌活性:体外及计算机模拟研究前列腺癌细胞。

Synthesis and Anticancer Activity of Novel Derivatives of α,β-Unsaturated Ketones Based on Oleanolic Acid: in Vitro and in Silico Studies against Prostate Cancer Cells.

机构信息

Bezmialem Vakif University, Faculty of Pharmacy, Department of Pharmaceutical Chemistry, 34093 Fatih, Istanbul, Türkiye.

University of Zabol, Faculty of Science, Department of Chemistry, Zabol, 98615-538, Iran.

出版信息

Chem Biodivers. 2023 Sep;20(9):e202301089. doi: 10.1002/cbdv.202301089. Epub 2023 Sep 4.

DOI:10.1002/cbdv.202301089
PMID:37596247
Abstract

Herein, new derivatives of α,β-unsaturated ketones based on oleanolic acid (4 a-i) were designed, synthesized, characterized, and tested against human prostate cancer (PC3). According to the in vitro cytotoxic study, title compounds (4 a-i) showed significantly lower toxicity toward healthy cells (HUVEC) in comparison with the reference drug doxorubicin. The compounds with the lowest IC values on PC3 cell lines were 4 b (7.785 μM), 4 c (8.869 μM), and 4 e (8.765 μM). The results of the ADME calculations showed that the drug-likeness parameters were within the defined ranges according to Lipinski's and Jorgensen's rules. For the most potent compounds 4 b, 4 c, and 4 e, a molecular docking analysis using the induced fit docking (IFD) protocol was performed against three protein targets (PARP, PI3K, and mTOR). Based on the IFD scores, compound 4 b had the highest calculated affinity for PARP1, while compound 4 c had higher affinities for mTOR and PI3K. The MM-GBSA calculations showed that the most potent compounds had high binding affinities and formed stable complexes with the protein targets. Finally, a 50 ns molecular dynamics simulation was performed to study the behavior of protein target complexes under in silico physiological conditions.

摘要

在此,我们设计、合成并表征了基于齐墩果酸的α,β-不饱和酮新衍生物(4a-i),并对其进行了人前列腺癌细胞(PC3)的活性测试。根据体外细胞毒性研究,标题化合物(4a-i)对健康细胞(HUVEC)的毒性明显低于参考药物阿霉素。对 PC3 细胞系具有最低 IC 值的化合物为 4b(7.785 μM)、4c(8.869 μM)和 4e(8.765 μM)。ADME 计算结果表明,根据 Lipinski 和 Jorgensen 规则,药物样参数均在定义范围内。对于最有效的化合物 4b、4c 和 4e,我们使用诱导契合对接(IFD)方案对三个蛋白靶标(PARP、PI3K 和 mTOR)进行了分子对接分析。根据 IFD 评分,化合物 4b 对 PARP1 具有最高的计算亲和力,而化合物 4c 对 mTOR 和 PI3K 具有更高的亲和力。MM-GBSA 计算表明,最有效的化合物具有高结合亲和力,并与蛋白靶标形成稳定的复合物。最后,我们进行了 50 ns 的分子动力学模拟,以研究在计算机理生理条件下蛋白靶复合物的行为。

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