首页> 外文期刊>European Journal of Medicinal Chemistry: Chimie Therapeutique >Discovery of novel CDK1 inhibitors by combining pharmacophore modeling, QSAR analysis and in silico screening followed by in vitro bioassay.
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Discovery of novel CDK1 inhibitors by combining pharmacophore modeling, QSAR analysis and in silico screening followed by in vitro bioassay.

机译:通过结合药效团建模,QSAR分析和计算机筛选,然后进行体外生物测定,发现了新型CDK1抑制剂。

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摘要

Cyclin-dependent kinase 1 (CDK1) is a valid anticancer target. With this in mind we applied a modeling workflow by combining pharmacophore modeling and QSAR analysis followed by in silico screening towards the discovery of novel inhibitory CDK1 scaffolds. Virtual screening identified 10 low micromolar inhibitory leads: 8 from the National Caner Institute (NCI) list of compounds and 2 from our in house list of established drugs and agrochemicals. The most potent NCI hit illustrated anti-CDK1 IC(50) value of 0.83 microM, while the drug hit isoxsuprine illustrated anti-CDK1 IC(50) value of 2.9 microM and the agrochemical hit foramsulfuran showed IC(50) = 3.6 microM. These results demonstrate that our virtual screening protocol is able to identify novel anti-CDK1 leads for subsequent development into potential anticancer agents.
机译:细胞周期蛋白依赖性激酶1(CDK1)是有效的抗癌靶标。考虑到这一点,我们通过将药效团建模和QSAR分析相结合,然后进行计算机筛选,以发现新型抑制性CDK1支架的方式应用了建模工作流程。虚拟筛选确定了10种低微摩尔抑制导联:8种来自国家Caner Institute(NCI)化合物列表,另外2种来自我们内部已建立的药物和农用化学品列表。最有效的NCI样品显示抗CDK1 IC(50)值为0.83 microM,而药物异异磺嘌呤显示的抗CDK1 IC(50)值为2.9 microM,而农药中的甲硫呋喃显示IC(50)= 3.6 microM。这些结果表明,我们的虚拟筛选方案能够识别新的抗CDK1线索,以便随后开发成潜在的抗癌药。

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