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

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

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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:采用Codessa Pro描述符的严格的QSAR建模程序已被用于预测更有效的抗白血病药剂。关于对白血病RPMI-8226细胞系肿瘤生长的实验数据34种化合物(在10米的剂量处理)上通过4描述QSAR模型与其化学结构有关。通过该模型如活性预测的四个双(氧化物)双脲和双(磺酰丙基)双尿素衍生物(4a,4b,8,11a),与11b预测为低活性,并筛选抗 - 利用55种不同肿瘤细胞系的肿瘤活性。化合物8和11a显示出对大多数所采用细胞系的抗肿瘤特性与生长抑制超过50%。化合物8和11a的高度有前景的初步抗肿瘤性质在连续稀释液(10(-4)-10(-8)℃)下进行筛选,用于测定其Gi(50)和TGI对筛选的人肿瘤细胞系。化合物11a(GI(50)= 1.55,TGI = 8.68毫米)比化合物8更有效(GI(50)= 58.30,TGI => 100米)对靶白血病RPMI-8226细胞系。化合物11a还表现出对NCI-H226,NCI-H23(非小细胞肺癌),COLO 205(结肠癌),SNB-75(CNS癌),OVCAR-3,SK-OV的抗肿瘤性质高度明显的抗肿瘤性能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, 1.85,1.08,TGI = 8.35,6.01,2.67,8.59,4.01,7.01,5.62,6.38,5.63毫米)。因此,11A可以是朝向靶向各种人肿瘤细胞系的广谱抗肿瘤活性剂的设计的合适的铅。

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