...
首页> 外文期刊>European Journal of Medicinal Chemistry: Chimie Therapeutique >QSAR modeling, synthesis and bioassay of diverse leukemia RPMI-8226 cell line active agents.
【24h】

QSAR modeling, synthesis and bioassay of diverse leukemia RPMI-8226 cell line active agents.

机译:多种白血病RPMI-8226细胞系活性剂的QSAR建模,合成和生物测定。

获取原文
获取原文并翻译 | 示例
           

摘要

A rigorous QSAR modeling procedure employing CODESSA PRO descriptors has been utilized for the prediction of more efficient anti-leukemia agents. Experimental data concerning the effect on leukemia RPMI-8226 cell line tumor growth of 34 compounds (treated at a dose of 10 muM) was related to their chemical structures by a 4-descriptor QSAR model. Four bis(oxy)bis-urea and bis(sulfanediyl)bis-urea derivatives (4a, 4b, 8, 11a) predicted as active by this model, together with 11b predicted to be of low activity, were synthesized and screened for anti-tumor activity utilizing 55 different tumor cell lines. Compounds 8 and 11a showed anti-tumor properties against most of the adopted cell lines with growth inhibition exceeding 50%. The highly promising preliminary anti-tumor properties of compounds 8 and 11a, were screened at serial dilutions (10(-4)-10(-8) muM) for determination of their GI(50) and TGI against the screened human tumor cell lines. Compound 11a (GI(50) = 1.55, TGI = 8.68 muM) is more effective than compound 8 (GI(50)=58.30, TGI = > 100 muM) against the target leukemia RPMI-8226 cell line. Compound 11a also exhibits highly pronounced anti-tumor properties against NCI-H226, NCI-H23 (non-small cell lung cancer), COLO 205 (colon cancer), SNB-75 (CNS cancer), OVCAR-3, SK-OV-3 (ovarian cancer), A498 (renal cancer) MDA-MB-231/ATCC and MDA-MB-468 (breast cancer) cell lines (GI(50) = 1.95, 1.61, 1.38, 1.56, 1.30, 1.98, 1.18, 1.85, 1.08, TGI = 8.35, 6.01, 2.67, 8.59, 4.01, 7.01, 5.62, 6.38, 5.63 muM, respectively). Thus 11a could be a suitable lead towards the design of broad spectrum anti-tumor active agents targeting various human tumor cell lines.
机译:使用CODESSA PRO描述符的严格QSAR建模程序已用于预测更有效的抗白血病药。通过4-描述符QSAR模型,涉及34种化合物(以10μM的剂量处理)对白血病RPMI-8226细胞系肿瘤生长的影响的实验数据与其化学结构有关。合成了四种被该模型预测为有活性的双(氧)双脲和双(磺酰二基)双脲衍生物(4a,4b,8、11a),以及预测为低活性的11b,并筛选了抗-利用55种不同的肿瘤细胞系的肿瘤活性。化合物8和11a对大多数采用的细胞系显示出抗肿瘤特性,其中生长抑制超过50%。在系列稀释液(10(-4)-10(-8)muM)筛选具有高度前景的化合物8和11a的初步抗肿瘤特性,以确定其针对所筛选的人类肿瘤细胞系的GI(50)和TGI 。化合物11a(GI(50)= 1.55,TGI = 8.68μM)比化合物8(GI(50)= 58.30,TGI => 100μM)对目标白血病RPMI-8226细胞系更有效。化合物11a还对NCI-H226,NCI-H23(非小细胞肺癌),COLO 205(结肠癌),SNB-75(CNS癌症),OVCAR-3,SK-OV- 3(卵巢癌),A498(肾癌)MDA-MB-231 / ATCC和MDA-MB-468(乳腺癌)细胞系(GI(50)= 1.95、1.61、1.38、1.56、1.30、1.98、1.18,分别为1.85、1.08,TGI = 8.35、6.01、2.67、8.59、4.01、7.01、5.62、6.38、5.63μM)。因此,11a可能是设计针对各种人类肿瘤细胞系的广谱抗肿瘤活性剂的合适方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号