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Polar Narcosis: Designing a Suitable Training Set for QSAR Studies
Eñaut Urrestarazu Ramos; Wouter Vaes; Henk J. M. Verhaar; Joop L.M. Hermens
Corresponding author:: Eñaut Urrestarazu Ramos, Research Institute of Toxicology (RITOX), Utrecht University, P.O. Box 80.176, NL-3508 TD Utrecht, The Netherlands; e-mail: enaut@ritox.dgk.ruu.nl

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Substituted phenols, anilines, pyridines and mononitrobenzenes can be classified as polar narcotics. These chemicals differ from non-polar narcotic compounds not only in their toxic potency (normalized by log KOW), but also in their Fish Acute Toxicity Syndrome profiles, together suggesting a different mode of action.
For 97 polar narcotics, which are not ionized under physiological conditions, 11 physico-chemical and quantum-chemical descriptors were calculated. Using principal component analysis, 91% of the total variance in this descriptor space could be explained by three principal components which were subsequently used as factors in a statistical design. Eleven compounds were selected based on a two-level full factorial design including three compounds near the center of the chemical domain (a 23+3 design).
QSARs were developed for both the design set and the whole set of 63 polar narcotics for which guppy and/or fathead minnow data were available in the literature. Both QSARs, based on partial least squares regression (3 latent variables), resulted in good models (R2=0.96 and Q2=0.86 and Q2=0.83, respectively) and provided similar pseudo-regression coefficients. In addition, the model based on the design chemicals was able to predict the toxicity of the 63 compounds (R2=0.85).
Models show that acute fish toxicity is determined by hydrophobicity, HOMO-LUMO energy gap and hydrogen-bond acceptor capacity.

4 ESPR (2) 83-90 (1997)

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