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Quantitative Structure-Activity Relationship (QSAR) Study of Some DNA-Intercalating Anticancer Drugs

机译:一些DNA插入抗癌药物的定量结构 - 活性关系(QSAR)研究

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Small molecular anticancer drugs bind reversibly to DNA and are used in chemotherapy. The experimental measurements of the inhibition activity of drugs are difficult, expensive, and time-consuming. So, quantitative structure-activity/property relationship method (QSAR) is adopted where the dependency of drug binding affinity with their structural features is exploited. To explore whether molecular descriptors can explain their DNA-binding affinity and toxicity, 23 antitumor molecules, which are being used clinically as drugs, are analyzed by rigorous statistical calculations. The 50% cancer cell growth inhibition constant (IC50) for any particular cancer cell line is obtained from the NCI/NIH database. Molecular descriptors (geometrical, physicochemical, and quantum chemical) are calculated for the molecules. A mathematical model is built to predict DNA-drug-binding constant and growth inhibitory concentration by multiple regression which can be useful for rational drug design.
机译:小分子抗癌药物可逆地与DNA结合,用于化疗。药物抑制活性的实验测量难以,昂贵,耗时。因此,采用定量结构 - 活性/性能关系方法(QSAR),其中利用药物结合亲和力与结构特征的依赖性。为了探索分子描述符是否可以解释其DNA结合亲和力和毒性,通过严格的统计计算分析临床用作药物作为药物的抗肿瘤分子。对于任何特定癌细胞系的50%癌细胞生长抑制常数(IC50)是从NCI / NIH数据库获得的。计算分子的分子描述夹(几何,物理化学和量子化学品)。构建了一种数学模型,以通过多元回归预测DNA药物结合常数和生长抑制浓度,这对于合理的药物设计有用。

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