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首页> 外文期刊>Current Bioinformatics >3D-QSAR and Docking Simulation Studies of Some Benzopyrone Derivatives as Inhibitors for Breast Cancer Stem Cell Growth via P-Glycoprotein Mediated Efflux
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3D-QSAR and Docking Simulation Studies of Some Benzopyrone Derivatives as Inhibitors for Breast Cancer Stem Cell Growth via P-Glycoprotein Mediated Efflux

机译:3D-QSAR和一些苯并吡喃酮衍生物通过P-糖蛋白介导的外排抑制乳腺癌干细胞生长的对接模拟研究

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摘要

Benzopyrone derivatives (Coumarins) are well known inhibitors of P-glycoprotein (P-gp) mediated efflux. The high expression level of these efflux proteins promotes the growth of breast cancer stem cells (CSCs). The activity of breast CSCs is directly affected by the inhibition of efflux proteins by benzopyrone derivatives. Ligand based pharmacophoric study and structure based docking studies have been exploited for assessing this inhibitory activity. Based on QSAR results, a three point pharmacophore comprising of one hydrogen bond acceptor (A) and two condensed aromatic groups (R) has been designed. The atom based QSAR study was conducted to predict partial least square (PLS) statistical factors for test and training data sets. Some specific amino acids have been demonstrated to be actively involved in the ligand protein interaction. These structural features of ligands and active site residues of target protein provide new pathways to develop therapeutically important drugs for the inhibition of breast cancer stem cells.
机译:苯并吡喃酮衍生物(香豆素)是众所周知的P-糖蛋白(P-gp)介导的外排抑制剂。这些外排蛋白的高表达水平促进了乳腺癌干细胞(CSCs)的生长。乳腺CSC的活性直接受到苯并吡喃酮衍生物对外排蛋白的抑制作用。基于配体的药效学研究和基于结构的对接研究已被用于评估这种抑制活性。基于QSAR结果,设计了一种由一个氢键受体(A)和两个稠合芳族基团(R)组成的三点药效团。进行了基于原子的QSAR研究,以预测测试和训练数据集的偏最小二乘(PLS)统计因子。已经证明一些特定的氨基酸积极参与配体蛋白的相互作用。靶蛋白的配体和活性位点残基的这些结构特征提供了开发抑制乳腺癌干细胞的重要治疗药物的新途径。

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