Suppr超能文献

新型环状芳基磺酰脲类化合物的合成及抗肿瘤活性评价:ADME-T 和药效团预测。

Synthesis and antitumor evaluation of novel cyclic arylsulfonylureas: ADME-T and pharmacophore prediction.

机构信息

Department of Medicinal Chemistry, Faculty of Pharmacy, University of Mansoura, Mansoura 35516, Egypt.

出版信息

Eur J Med Chem. 2010 Jun;45(6):2516-30. doi: 10.1016/j.ejmech.2010.02.038. Epub 2010 Feb 20.

Abstract

Novel derivatives of 5-(substituted)benzylidene-3-(4-substituted)phenylsulfonylimidazolidine-2,4-diones (3a-r), 1-(4-substituted)phenylsulfonyl-3-(4-substituted)phenylpyrimidine-2,4,6-(1H,3H,5H)-triones (6a-l), and 3-(4-substituted)phenyl-1-(4-substituted)phenylsulfonylquinazoline-2,4(1H,3H)- diones (8a-l) have been synthesized and tested for their antitumor activity against 60 tumor cell lines taken from 9 different organs. The tested compounds have showed good inhibitory effect at the ovarian cancer (IGROV1) cell line. A significant inhibition for (RXF393) renal cancer cells was observed with series 3 compounds, while in the other two series 6 and 8, there was a significant inhibition of ovarian cancer cells (OVCAR-8) and melanoma cells (SK-MEL-2). Interestingly; beside the strong inhibition of compound 3q to IGROV1 and RXF393 cells, a great inhibition (199.62%) for (M14) Melanoma cells was observed at the tested concentration (10 microM). ADME-T and pharmacophore prediction methodology were used to study the antitumor activity of the most active compounds and to identify the structural features required for antitumor activity.

摘要

新型 5-(取代)亚苄基-3-(4-取代)苯基磺酰基咪唑烷-2,4-二酮(3a-r)、1-(4-取代)苯基磺酰基-3-(4-取代)苯基嘧啶-2,4,6-(1H,3H,5H)-三酮(6a-l)和 3-(4-取代)苯基-1-(4-取代)苯基磺酰基喹唑啉-2,4(1H,3H)-二酮(8a-l)已被合成,并针对 60 种来自 9 种不同器官的肿瘤细胞系进行了抗肿瘤活性测试。测试的化合物对卵巢癌细胞(IGROV1)表现出良好的抑制作用。系列 3 化合物对(RXF393)肾癌细胞表现出显著的抑制作用,而在其他两个系列 6 和 8 中,卵巢癌细胞(OVCAR-8)和黑色素瘤细胞(SK-MEL-2)的抑制作用显著。有趣的是;除了化合物 3q 对 IGROV1 和 RXF393 细胞的强烈抑制作用外,在测试浓度(10 μM)下,对(M14)黑色素瘤细胞的抑制作用也非常显著(199.62%)。ADME-T 和药效团预测方法被用于研究最活跃化合物的抗肿瘤活性,并确定抗肿瘤活性所需的结构特征。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验