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苯丙基苯乙酮衍生物作为潜在的抗癌剂:合成、生物评价及定量构效关系研究。

Phenylpropiophenone derivatives as potential anticancer agents: synthesis, biological evaluation and quantitative structure-activity relationship study.

机构信息

Department of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Belgrade, Vojvode Stepe 450, 11000 Belgrade, Serbia.

出版信息

Eur J Med Chem. 2013 May;63:239-55. doi: 10.1016/j.ejmech.2013.02.013. Epub 2013 Feb 20.

Abstract

Series of twelve chalcone and propafenone derivatives has been synthesized and evaluated for anticancer activities against HeLa, Fem-X, PC-3, MCF-7, LS174 and K562 cell lines. The 2D-QSAR and 3D-QSAR studies were performed for all compounds with cytotoxic activities against each cancer cell line. Partial least squares (PLS) regression has been applied for selection of the most relevant molecular descriptors and QSAR models building. Predictive potentials of the created 2D-QSAR and 3D-QSAR models for each cell line were compared, by use of leave-one-out cross-validation and external validation, and optimal QSAR models for each cancer cell line were selected. The QSAR studies have selected the most significant molecular descriptors and pharmacophores of the chalcone and propafenone derivatives and proposed structures of novel chalcone and propafenone derivatives with enhanced anticancer activity on the HeLa, Fem-X, PC-3, MCF-7, LS174 and K562 cells.

摘要

已合成了一系列十二种查尔酮和普罗帕酮衍生物,并对其针对 HeLa、Fem-X、PC-3、MCF-7、LS174 和 K562 细胞系的抗癌活性进行了评估。对具有细胞毒性的所有化合物进行了二维定量构效关系(2D-QSAR)和三维定量构效关系(3D-QSAR)研究。偏最小二乘(PLS)回归用于选择最相关的分子描述符和 QSAR 模型构建。通过使用留一法交叉验证和外部验证,比较了为每个细胞系创建的 2D-QSAR 和 3D-QSAR 模型的预测潜力,并为每种癌细胞系选择了最佳的 QSAR 模型。QSAR 研究选择了查尔酮和普罗帕酮衍生物的最重要的分子描述符和药效团,并提出了具有增强的 HeLa、Fem-X、PC-3、MCF-7、LS174 和 K562 细胞抗癌活性的新型查尔酮和普罗帕酮衍生物的结构。

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