Self-organization Neural Tree Applied to Structure-activity Relationship of 3-Methylfentanyl Derivatives

Chem. J. Chinese Universities ›› 1996, Vol. 17 ›› Issue (8): 1280.

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Self-organization Neural Tree Applied to Structure-activity Relationship of 3-Methylfentanyl Derivatives

FANG Jian-Hui¹, LU Wen-Cong¹, DING Yi-Min¹, YAN Li-Cheng¹, CHEN Nian-Yi²

1. Department of Chemistry, Shanghai University, Shanghai 201800;
2. Shanghai Institute of Metallurgy, Chinese Academy of Sciences

Received:1995-07-05 Online:1996-08-24 Published:1996-08-24

Abstract

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.

Key words: 3-Methylfentanyl derivatives, Structure-activity relationship, Artificial neural network, Self-organization neural tree

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FANG Jian-Hui, LU Wen-Cong, DING Yi-Min, YAN Li-Cheng, CHEN Nian-Yi. Self-organization Neural Tree Applied to Structure-activity Relationship of 3-Methylfentanyl Derivatives[J]. Chem. J. Chinese Universities, 1996, 17(8): 1280.

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Self-organization Neural Tree Applied to Structure-activity Relationship of 3-Methylfentanyl Derivatives

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