| 芬太尼衍生物构效关系的自组织人工神经网络研究 |
| |
| 引用本文： | 陆文聪,朱友成.芬太尼衍生物构效关系的自组织人工神经网络研究[J].上海大学学报(自然科学版),1996,2(3):302-307. |
| |
| 作者姓名： | 陆文聪 朱友成 |
| |
| 作者单位： | 上海大学化学与化工学院，中科院上海药物所，中科院上海冶金研究所 |
| |
| 摘 要： | 本文运用Ｔ．Ｋｏｈｏｎｅｎ自组织人工神经网络建立了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，该方法识别成功率较高，可望成为药物构效关系研究的有效辅助手段．
|
| 关 键 词： | 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 Fentanyl Derivatives by T. Kohonen Self-organization Model |
| |
| Lu Wencong, Yan Licheng.Studies on Structure-activity Relationship of Fentanyl Derivatives by T. Kohonen Self-organization Model[J].Journal of Shanghai University(Natural Science),1996,2(3):302-307. |
| |
| Authors: | Lu Wencong Yan Licheng |
| |
| Abstract: | In this papper, the non-linear relationship between the characteristic parameters and analgesic activities of a series of fentanyl derivatives is calculated by T. Kohonen self-organization model. The results show that the performance of the neural network is good and the successful classification rate is high. Therefore, the model might be used as an effective assistant technique for the investigation of structure-activity relationship of drugs. |
| |
| Keywords: | fentanyl derivatives structure-activity relationship artificial neural network T Kohonen self-organization model |
| 本文献已被 CNKI 维普 等数据库收录！ |
