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PDK1的吲哚酮类抑制剂定量构效关系研究 被引量:2

Quantitative structure-activity relationship study on indolinone inhibitors of PDK1
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摘要 70 indolinone inhibitors of PDK1 are calculated to guide obtaining the higher biological activity of quinolone compounds’ design and synthesis.Quantitative structure-activity relationship study has been approached on the basis of structure and quantum chemical parameters by using partial least squares,exhaustion linear regression analysis and chaotic genetic artificial neural network.According to the models,how these parameters affect the activity of the inhibitors of PDK1 is discussed in detail.The results show that the activity of indolinone inhibitors of PDK1 will increase when these compounds have larger nuclear energy,ploarizability,ovality and lower volume,molecular topological index.The QSAR results can provide a theoretical reference for the pharmaceutical synthesis. 70 indolinone inhibitors of PDK1 are calculated to guide obtaining the higher biological activity of quinolone compounds' design and synthesis. Quantitative structure-activity relationship study has been approached on the basis of structure and quantum chemical parameters by using partial least squares, exhaustion linear regression analysis and chaotic genetic artificial neural network. According to the models, how these parameters affect the activity of the inhibitors of PDKI is discussed in detail. The results show that the activity of indolinone inhibitors of PDK1 will increase when these compounds have larger nuclear energy, ploarizability, ovality and lower volume, molecular topological index. The QSAR results can provide a theoretical reference for the pharmaceutical synthesis.
出处 《化学研究与应用》 CAS CSCD 北大核心 2010年第3期350-357,共8页 Chemical Research and Application
基金 河南省杰出青年科学基金(0612002600)资助
关键词 3’磷酸肌醇依赖的激酶1 人工神经网络 定量构效关系 偏最小二乘法 混沌遗传神经网络算法 PDK1 ANN QSAR partial least squares analysis chaotic genetic artificial neural network
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