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基于定量构效关系(QSAR)和对接的18种β-甘草次酸衍生物的半合成及其对人肺癌细胞系A-549的体外评价

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

作者信息

Yadav Dharmendra Kumar, Kalani Komal, Khan Feroz, Srivastava Santosh Kumar

机构信息

Department of Metabolic and Structural Biology, CSIR-Central Institute of Medicinal and Aromatic Plants, P.O.-CIMAP, Kukrail Picnic Spot Road, Lucknow-226015 (U.P.), India.

出版信息

Med Chem. 2013 Dec;9(8):1073-84. doi: 10.2174/1573406411309080009.

Abstract

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 (r(2)) and prediction accuracy (rCV(2)) 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.

摘要

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,采用逐步向前多元线性回归方法建立了一个定量构效关系(QSAR)模型。就相关性而言,该QSAR模型的回归系数(r(2))和预测准确率(rCV(2))分别为0.94和0.82。QSAR研究表明,偶极矩、最小环的大小、胺基数量、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,预测的活性化合物对肺癌靶点表皮生长因子受体(EGFR)具有高结合亲和力。然后对这些活性甘草次酸衍生物进行半合成、表征,并进行体外抗癌活性测试。实验结果与预测值一致,GA-1的草酸乙酯衍生物(GA-3)显示出与标准抗癌药物紫杉醇同等的细胞毒性活性。

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