Calculation of Octanol/Water Partition Coefficients for Pesticides: A Comparative Study
作者:
J. Devillers,
期刊:
SAR and QSAR in Environmental Research
(Taylor Available online 1999)
卷期:
Volume 10,
issue 2-3
页码: 249-262
ISSN:1062-936X
年代: 1999
DOI:10.1080/10629369908039179
出版商: Taylor & Francis Group
关键词: 1-octanol/water partition coefficient;pesticides;three-layer feedforward neural network;back-propagation algorithm;atom/fragment descriptors;autocorrelation descriptors
数据来源: Taylor
摘要:
On the basis of a set of 593 experimental octanol/water partition coefficients (logP) for pesticides, the simulation performances of two models using computable descriptors are compared. The back propagation neural network model designed from autocorrelation descriptors (SAR QSAR Environ. Res.(1997),7, 151–172) compares favorably with the AFC model (J. Pharm. Sci.(1995),84, 83–92) using atom/fragment contributions and correction factors.
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