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首页> 外文期刊>Medicinal chemistry research: an international journal for rapid communications on design and mechanisms of action of biologically active agents >3D-QSAR study on VEGFR kinase inhibition of aminopyrazolopyridine urea derivatives by CoMFA and CoMSIA
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3D-QSAR study on VEGFR kinase inhibition of aminopyrazolopyridine urea derivatives by CoMFA and CoMSIA

机译:CoMFA和CoMSIA对VEGFR激酶抑制氨基吡唑并吡啶尿素衍生物的3D-QSAR研究

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摘要

Three-dimensional quantitative structure-activity relationship has been performed on 28 aminopyrazolopyridine ureas derivatives to correlate their chemical structures with their observed VEGFR kinase inhibitory activity. The studies include comparative molecular field analysis (CoMFA), CoMFA region focusing and comparative molecular similarity indices analysis (CoMSIA). An alignment rule for the compounds was defined using Distill in SYBYL. Data set was divided into training and test sets using diversity to validate the models. The constructed CoMFA, CoMFA region-focusing and CoMSIA models produced statistically significant results with the cross-validated correlation coefficients (q~2) of 0.858, 0.884, and 0.794, noncross-validated correlation coefficients (r~2) of 0.990, 0.991, and 0.930 and predicted correlation coefficients (r_(pred~)~2) of 0.796, 0.785, and 0.910, respectively. These results ensure the CoMFA and CoMSIA models as a tool to guide the design of series of new potent VEGFR kinase inhibitors.
机译:已对28种氨基吡唑并吡啶尿素衍生物进行了三维定量结构-活性关系,以使其化学结构与其所观察到的VEGFR激酶抑制活性相关。研究包括比较分子场分析(CoMFA),CoMFA区域聚焦和比较分子相似性指数分析(CoMSIA)。使用Distill in SYBYL定义化合物的比对规则。使用多样性来验证模型将数据集分为训练集和测试集。构建的CoMFA,CoMFA区域聚焦和CoMSIA模型产生了具有统计学意义的结果,交叉验证的相关系数(q〜2)为0.858、0.884和0.794,非交叉验证的相关系数(r〜2)为0.990、0.991,分别为0.930、0.785和0.910,预测相关系数(r_(pred〜)〜2)分别为0.796、0.785和0.910。这些结果确保了CoMFA和CoMSIA模型可作为指导设计一系列新型有效VEGFR激酶抑制剂的工具。

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