Prediction of physicochemical properties from Euclidean distance methods based on electrotopological state indices

被引:14
作者
Cash, GG [1 ]
机构
[1] US EPA, New Chem Screening & Assessment Branch, Risk Assessment Div, Washington, DC 20460 USA
关键词
D O I
10.1016/S0045-6535(99)00158-7
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper describes predictions of log K-OW, Henry's Law constant, vapor pressure, and OH-radical bimolecular rate constant from two Euclidean distance methods, using electrotopological state indices as input. The quality of the predictions is highly dependent on the size of the experimental dataset, i.e., the density of experimental data points in the Euclidean space. The Euclidean distance results are compared with predictions made by commercial software products for the same sets of compounds. (C) 1999 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:2583 / 2591
页数:9
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