首页> 美国卫生研究院文献>International Journal of Molecular Sciences >Synthesis Antitumor Evaluation Molecular Modeling and Quantitative Structure–Activity Relationship (QSAR) of Novel 2-(4-Amino-6-N-substituted-135-triazin-2-yl)methylthio-4-chloro-5-methyl-N-(1H-benzodimidazol-2(3H)-ylidene)Benzenesulfonamides
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Synthesis Antitumor Evaluation Molecular Modeling and Quantitative Structure–Activity Relationship (QSAR) of Novel 2-(4-Amino-6-N-substituted-135-triazin-2-yl)methylthio-4-chloro-5-methyl-N-(1H-benzodimidazol-2(3H)-ylidene)Benzenesulfonamides

机译:新型2-(4-氨基-6-N-取代-135-三嗪-2-基)甲硫基 -4-氯的合成抗肿瘤评价分子建模和定量构效关系(QSAR) -5-甲基-N-(1H-苯并d咪唑-2(3H)-亚烷基)苯磺酰胺

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摘要

A series of novel 2-[(4-amino-6-R -1,3,5-triazin-2-yl)methylthio]-4-chloro-5-methyl- -(5-R - -benzo[ ]imidazol-2( )-ylidene)benzenesulfonamides – was synthesized by the reaction of 5-substituted ethyl 2-{5-R -2-[ -(5-chloro- -benzo[ ]imidazol-2( )-ylidene)sulfamoyl]-4-methylphenylthio}acetate with appropriate biguanide hydrochlorides. The most active compounds, and , showed significant cytotoxic activity and selectivity against colon (HCT-116), breast (MCF-7) and cervical cancer (HeLa) cell lines (IC : 7–11 µM; 15–24 µM and 11–18 µM), respectively. Further QSAR (Quantitative Structure–Activity Relationships) studies on the cytotoxic activity of investigated compounds toward HCT-116, MCF-7 and HeLa were performed by using different topological (2D) and conformational (3D) molecular descriptors based on the stepwise multiple linear regression technique (MLR). The QSAR studies allowed us to make three statistically significant and predictive models for them. Moreover, the molecular docking studies were carried out to evaluate the possible binding mode of the most active compounds, and , within the active site of the MDM2 protein.
机译:一系列新颖的2-[((4-氨基-6-R -1,3,5-三嗪-2-基)甲硫基] -4-氯-5-甲基--(5-R--苯并[]咪唑-2()-亚烷基)苯磺酰胺–是通过5-取代的乙基2- {5-R -2- [-(5-氯--苯并[]咪唑-2()-亚烷基)氨磺酰基]-反应合成的将4-甲基苯硫基ides乙酸盐与适当的双胍盐酸盐一起使用。活性最强的化合物对结肠癌(HCT-116),乳腺癌(MCF-7)和宫颈癌(HeLa)细胞系具有显着的细胞毒活性和选择性(IC:7-11 µM; 15-24 µM和11- 18 µM)。通过基于逐步多元线性回归的不同拓扑(2D)和构象(3D)分子描述符,对被研究化合物对HCT-116,MCF-7和HeLa的细胞毒活性进行了进一步的QSAR(定量结构-活性关系)研究技术(MLR)。 QSAR研究使我们能够为它们建立三个具有统计学意义的预测模型。此外,进行了分子对接研究以评估最有活性的化合物以及MDM2蛋白活性位点内可能的结合模式。

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