首页> 外文期刊>Journal of enzyme inhibition and medicinal chemistry. >Use of Quantitative Structure-Activity Relationship (QSAR) and ADMET prediction studies as screening methods for design of benzyl urea derivatives for anti-cancer activity.
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Use of Quantitative Structure-Activity Relationship (QSAR) and ADMET prediction studies as screening methods for design of benzyl urea derivatives for anti-cancer activity.

机译:使用定量结构-活性关系(QSAR)和ADMET预测研究作为筛选方法来设计苄基脲衍生物的抗癌活性。

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2D and 3D quantitative structure-activity relationship studies have been carried out for establishing a correlation between the structural properties of benzyl urea derivatives and their anti-tumour activities. From this correlation, the new chemical entities were designed, and their activity and absorption, distribution, metabolism, excretion, and toxicity properties were also predicted. Finally, the most promising compounds from these screening were synthesized and biologically evaluated for their anti-cancer properties. Compound 1-(2, 4-dimethylphenyl)-3, 3-dimethyl-1-(2-nitrobenzyl) urea (7d) showed significant anti-proliferative activity (at 100 microg/mL) in human cancer cell lines-T-cell leukemia (Jurkat J6), myelogenous leukemia (K562), and breast cancer (MCF-7) compared to reference standard 5-flurouracil.
机译:为了建立苄基脲衍生物的结构性质与其抗肿瘤活性之间的相关性,已经进行了2D和3D定量结构-活性关系研究。根据这种相关性,设计了新的化学实体,并预测了它们的活性和吸收,分布,代谢,排泄和毒性。最后,合成了这些筛选中最有前途的化合物,并对其抗癌特性进行了生物学评估。化合物1-(2,4-二甲基苯基)-3,3-二甲基-1-(2-硝基苄基)脲(7d)在人类癌细胞系T细胞中显示出显着的抗增殖活性(100 microg / mL)与参考标准5-氟尿嘧啶相比,白血病(Jurkat J6),骨髓性白血病(K562)和乳腺癌(MCF-7)。

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