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QSAR and docking based semi-synthesis and in vitro evaluation of 18 β-glycyrrhetinic acid derivatives against human lung cancer cell line A-549

机译:QSAR和对接的18种β-甘草次酸衍生物对人肺癌细胞A-549的半合成和体外评估

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摘要

For the prediction of anticancer activity of glycyrrhetinic acid (GA-1) analogs against the human lung cancer cell line (A-549), a QSAR model was developed by forward stepwise multiple linear regression methodology. The regression coefficient (r2) and prediction accuracy (rCV2) of the QSAR model were taken 0.94 and 0.82, respectively in terms of correlation. The QSAR study indicates that the dipole moments, size of smallest ring, amine counts, hydroxyl and nitro functional groups are correlated well with cytotoxic activity. The docking studies showed high binding affinity of the predicted active compounds against the lung cancer target EGFR. These active glycyrrhetinic acid derivatives were then semi-synthesized, characterized and in-vitro tested for anticancer activity. The experimental results were in agreement with the predicted values and the ethyl oxalyl derivative of GA-1 (GA-3) showed equal cytotoxic activity to that of standard anticancer drug paclitaxel.
机译:为了预测甘草次酸(GA-1)类似物对人肺癌细胞系(A-549)的抗癌活性,采用正向逐步多元线性回归方法建立了QSAR模型。就相关性而言,QSAR模型的回归系数(r2)和预测精度(rCV2)分别为0.94和0.82。 QSAR研究表明,偶极矩,最小环的大小,胺数量,羟基和硝基官能团与细胞毒性活性密切相关。对接研究表明,预期的活性化合物对肺癌靶标EGFR具有很高的结合亲和力。然后将这些活性甘草次酸衍生物半合成,表征并体外测试其抗癌活性。实验结果与预测值一致,GA-1(GA-3)的乙基草酰衍生物显示出与标准抗癌药紫杉醇相同的细胞毒活性。

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