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首页> 外文期刊>Protein engineering design & selection: PEDS >Inhibitory mode of N-phenyl-4-pyrazolo[1,5-b] pyridazin-3-ylpyrimidin-2-amine series derivatives against GSK-3: molecular docking and 3D-QSAR analyses
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Inhibitory mode of N-phenyl-4-pyrazolo[1,5-b] pyridazin-3-ylpyrimidin-2-amine series derivatives against GSK-3: molecular docking and 3D-QSAR analyses

机译:N-苯基-4-吡唑并[1,5-b]哒嗪-3-基嘧啶-2-胺系列衍生物对GSK-3的抑制模式:分子对接和3D-QSAR分析

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Glycogen synthase kinase 3 (GSK-3) inhibition is an important research topic because of its wide range of associated health implications. The interaction mode of a series of N-phenyl-4-pyrazolo[1,5-b]pyridazin-3-ylpyrimidin-2-amine compounds with human GSK-3 has been studied using molecular docking and 3D-QSAR approaches. In the 3D-QSAR studies, the molecular alignment and conformation determination are so important that they affect the success of a model. Flexible docking (AutoDock3.0.5) was used for the determination of 'active' conformation and molecular alignment. Comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) were used to develop 3D-QSAR models of 80 N-phenyl-4-pyrazolo[1,5-b]pyridazin-3-ylpyrimidin-2-amine compounds. The r(2) values were 0.870 and 0.861 for CoMFA and CoMSIA models, respectively. The predictive ability of these models was validated by 10 compounds of the test set. Mapping these models back to the topology of the active site of GSK-3 led to a better understanding of the vital N-phenyl-4-pyrazolo[1,5-b]pyridazin-3-ylpyrimidin-2-amines-GSK-3 interactions. The results demonstrate that combination of ligand-based and receptor-based modeling is a powerful approach to build 3D-QSAR models. The interaction mode from this study may be helpful for the design of a novel inhibitor and guide the selection of candidate sites for further experimental studies on site-directed mutagenesis.
机译:糖原合酶激酶3(GSK-3)抑制是一个重要的研究课题,因为它具有广泛的相关健康意义。利用分子对接和3D-QSAR方法研究了一系列N-苯基-4-吡唑并[1,5-b]哒嗪-3-基嘧啶-2-胺化合物与人GSK-3的相互作用方式。在3D-QSAR研究中,分子比对和构象确定非常重要,以至于影响模型的成功。灵活对接(AutoDock3.0.5)用于确定“活性”构象和分子排列。使用比较分子场分析(CoMFA)和比较分子相似性指标分析(CoMSIA)建立80种N-苯基-4-吡唑并[1,5-b]哒嗪-3-基嘧啶-2-胺化合物的3D-QSAR模型。对于CoMFA和CoMSIA模型,r(2)值分别为0.870和0.861。这些模型的预测能力由测试集中的10种化合物验证。将这些模型映射回GSK-3活性位点的拓扑结构,可以更好地了解重要的N-苯基-4-吡唑并[1,5-b]哒嗪-3-基嘧啶-2-胺-GSK-3互动。结果表明,基于配体和基于受体的建模相结合是建立3D-QSAR模型的有效方法。这项研究的相互作用模式可能有助于设计新型抑制剂,并指导候选位点的选择,以进行针对定点诱变的进一步实验研究。

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