Structure-Toxicity Analyses of Tetrahymena Pyriformis Exposed to Pyridines - An Examination Into Extension of Surface-Response Domains
- 1 February 2001
- journal article
- research article
- Published by Taylor & Francis in SAR and QSAR in Environmental Research
- Vol. 11 (5-6) , 489-512
- https://doi.org/10.1080/10629360108035365
Abstract
A selection of mechanistically diverse substituted pyridines were tested in the Tetrahymena pyriformis population growth impairment assay. The response-surface approach was used to derive multiple-regression type structure-toxicity relationships between T. pyriformis population growth impairment toxicity data (log(IGC−1 50)) and the 1-octanol/water partition coefficient (log K ow) and one of two different descriptors of molecular orbital interaction: energy of the lowest unoccupied molecular orbital (E LUMO) and maximum acceptor superdelocalizability (S MAX). A statistically robust model (log(IGC−1 50) = −3.91 + 0.50(log K ow) + 10.70(S MAX); n = 83, r 2 = 0.756, s = 0.38, F = 124, Pr > F = 0.0001) was developed with S MAX as the indicator of reactivity. This model was not statistically different in fit from the model (log(IGC−1 50) = −1.19 + 0.56(log K ow) −0.61(E LUMO); n = 86, r 2 = 0.749, s = 0.38, F = 124, Pr > F = 0.0001) derived using the alternative descriptor of electrophilic interaction. Compounds with high residual values were removed. An examination of these outliers from both response-surfaces, revealed that pyridines substituted in the 2-position with electron-releasing groups and halogenated nitro-substituted pyridines did not fit the above models well. A third group of outliers, the mono-halogenated pyridines, was unique to the S MAX response-surface, which are neutral narcotics with potentially high volatility. A comparison of observed and predicted toxicities for a validation set of pyridines for the S MAX surface (log (observed IGC−1 50) = 0.10 + 0.75(log(predicted IGC−1 50)); n = 10, r 2 = 0.662, s = 0.49, F = 15.7, Pr > F = 0.004) and the E LUMO surface (log(observed IGC−1 50) = 0.17 + 0.80(log(predicted IGC−1 50)); n = 10, r 2 = 0.707, s = 0.45, F = 19.3, Pr > F = 0.002) validated the above models, with the fit in the same range as the parent model. The model derived with S MAX was compared to the response-surface derived for substituted benzenes (log(IGC−1 50) = −3.47 + 0.50(log K ow) + 9.85(S MAX); n = 197, r 2 = 0.816, s = 0.34, F = 429, Pr > F = 0.0001) revealing the similarities in slope and intercept between the two response-surfaces. The model fit was poorer for the pyridine surface, which may be a factor of increased reactivity due to the presence of nitrogen and the associated pair of unshared electrons in the ring not present in benzene. However, the similarity of the pyridine and benzene response-surfaces suggests that the domain defined for benzenes may be extended to encompass nitrogen heterocyclic pyridines.Keywords
This publication has 38 references indexed in Scilit:
- Quantitative structure-activity relationships in fish toxicity studies Part 1: Relationship for 50 industrial pollutantsPublished by Elsevier ,2002
- Structure−Toxicity Relationships for Benzenes Evaluated with Tetrahymena pyriformisChemical Research in Toxicology, 1999
- Comparison of Tetrahymena and Pimephales Toxicity Based on Mechanism of ActionSAR and QSAR in Environmental Research, 1998
- Structure‐activity relationships for Pimephales and Tetrahymena: A mechanism of action approachEnvironmental Toxicology and Chemistry, 1997
- Future EventsQuantitative Structure-Activity Relationships, 1996
- The Electronic Factor in QSAR: MO-Parameters, Competing Interactions, Reactivity and ToxicitySAR and QSAR in Environmental Research, 1994
- Predicting Modes of Toxic Action from Chemical Structure: An OverviewSAR and QSAR in Environmental Research, 1994
- Outliers: their origin and use in the classification of molecular mechanisms of toxicityScience of The Total Environment, 1991
- Mechanisms of General AnesthesiaEnvironmental Health Perspectives, 1990
- Strategic approaches to drug design. I. An integrated software framework for molecular modellingJournal of Computer-Aided Molecular Design, 1987