| 自组织神经树用于3－甲基芬太尼衍生物构效关系的研究 |
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| 引用本文： | 方建慧,陆文聪,丁益民,阎立诚,陈念贻. 自组织神经树用于3－甲基芬太尼衍生物构效关系的研究[J]. 高等学校化学学报, 1996, 0(8) |
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| 作者姓名： | 方建慧 陆文聪 丁益民 阎立诚 陈念贻 |
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| 作者单位： | 上海大学化学系，中科院上海冶金研究所 |
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| 摘 要： | 用自组织神经树方法研究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，自组织神经树 |
Self-organization Neural Tree Applied to Structure-activity Relationship of 3-Methylfentanyl Derivatives |
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| FANG Jian-Hui,LU Wen-Cong, DING Yi-Min,YAN Li-Cheng. Self-organization Neural Tree Applied to Structure-activity Relationship of 3-Methylfentanyl Derivatives[J]. Chemical Research In Chinese Universities, 1996, 0(8) |
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| Authors: | FANG Jian-Hui LU Wen-Cong DING Yi-Min YAN Li-Cheng |
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| Abstract: | In this paper,the non-linear relationship between the characteristic parameters and analgesic activities of a series of 3-methylfentanyl derivatives was calculated by self-organization neural tree model. The results show that the performance of the self-organization neural tree is quite good and the successful classification rate is high. Therefore,we can expect that this model might be used as an effective assistant technique for the investigation of structure-activity relationship of drugs. |
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| Keywords: | Methylfentanyl derivatives Structure-activity relationship Artificial neural network Self-organization neural tree |
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