| 3－甲基芬太尼衍生物构效关系的自组织人工神经网络研究 |
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| 引用本文： | 陆文聪,方建慧,丁益民,阎立诚,陈念贻.3－甲基芬太尼衍生物构效关系的自组织人工神经网络研究[J].中国药物化学杂志,1996(1). |
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| 作者姓名： | 陆文聪 方建慧 丁益民 阎立诚 陈念贻 |
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| 作者单位： | 上海大学化学系，中国科学院上海冶金研究所 |
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| 摘 要： | 本文运用Ｔ．Ｋｏｈｏｎｅｎ自组织人工神经网络建立了３－甲基芬太尼衍生物的镇痛活性与其结构特征参数间的非线性关系，结果表明，该网络性能良好，识别成功率高，可望成为药物构效关系研究的有效辅助手段。
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| 关 键 词： | 3－甲基芬太尼衍生物 构效关系 人工神经网络 T．Kohonen自组织模型 |
Studies on Structure-Activity Relationship of 3-Methylfentanyl Derivatives by T. Kohonen Self-Organization Model |
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| Lu Wencong, Fang Jianhui, Ding Yiming, Yan Licheng.Studies on Structure-Activity Relationship of 3-Methylfentanyl Derivatives by T. Kohonen Self-Organization Model[J].Chinese Journal of Medicinal Chemistry,1996(1). |
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| Authors: | Lu Wencong Fang Jianhui Ding Yiming Yan Licheng |
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| Abstract: | In this papper, the non-linear relationship between the characteristic parameters and analgesic activities of a series of 3-methylfentanyl derivatives was calculated by the T. Kohonen self-organization model. The results showed that the performance of the neural network was good and the successful classification rate was high. Therefore,the model might be used as an effective assistant technique for the investigation of structure-activity relationship of drugs. |
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| Keywords: | Methylfentanylderivatives Structure-activity relationship Artificial neural network T Kohonen self-organization model |
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