Modelling acute oral mammalian toxicity. 1. Definition of a quantifiable baseline effect.

Quantitative structure-activity relationships (QSARs) provide a useful tool to define a relationship between chemical structure and toxicity and allow for the prediction of the toxicity of untested chemicals. QSAR models based upon an anaesthetic or narcosis mechanism represent a baseline, or minimum, toxicity, i.e. unless a chemical acts by another, more specific, mechanism, its toxicity will be predicted by such models. The aim of this investigation was to develop baseline models for the acute toxicity of chemicals to mammals (rat and mouse) following the oral route of administration. The availability of such baseline toxicity models for mammalian species can provide a probe for testing new chemicals with respect to their molecular mechanism of toxicity. Multiple-regression type structure-toxicity relationships were derived . (i.e., from oral log LD(50)(-1) data for mammalian species (rat and mouse) and the 1-octanol/water partition coefficient (log P) of classic non-polar narcotics). Subsequently, these models were used to distinguish between reactive chemicals of different mechanistic domains and baseline toxic chemicals. Comparison of measured toxicity data for oral rat and mouse LD(50) with predictions from baseline QSAR provides a means of identifying mechanistic categories and for categorising more specific acute mechanisms.

Prediction of michael-type acceptor reactivity toward glutathione.

A model has been developed to predict the kinetic rate constants (k(GSH)) of α,ß-unsaturated Michael acceptor compounds for their reaction with glutathione (GSH). The model uses the local charge-limited electrophilicity index ω(q) [Wondrousch, D., et al. (2010) J. Phys. Chem. Lett. 1, 1605-1610] at the ß-carbon atom as a descriptor of reactivity, a descriptor for resonance stabilization of the transition state, and one for steric hindrance at the reaction sites involved. Overall, the Michael addition model performs well (r² = 0.91; rms = 0.34). It includes various classes of compounds with double and triple bonds, linear and cyclic systems, and compounds with and without substituents in the α-position. Comparison of experimental and predicted rate constants demonstrates even better performance of the model for individual classes of compounds (e.g., for aldehydes, r² = 0.97 and rms = 0.15; for ketones, r² = 0.95 and rms = 0.35). The model also allows for the prediction of the RC50 values from the Schultz chemoassay, the accuracy being close to the interlaboratory experimental error. Furthermore, k(GSH) and associated RC50 values can be predicted in cases where experimental measurements are not possible or restricted, for example, because of low solubility or high volatility. The model has the potential to provide information to assist in the assessment and categorization of toxicants and in the application of integrated testing strategies.

Formation of categories from structure-activity relationships to allow read-across for risk assessment: toxicity of alpha,beta-unsaturated carbonyl compounds.

alpha,beta-Unsaturated carbonyl compounds are common environmental pollutants that are able to interact with proteins, enzymes, and DNA through various mechanisms. As such, they are able to stimulate a range of environmental toxicities and adverse health effects. In this study, a "category" of alpha,beta-unsaturated carbonyl compounds (aldehydes and ketones), assumed to act by a common mechanism of action (Michael type addition), was formed. This toxicologically and mechanistically important category was formed on the premise of structure-activity relationships. The acute aquatic toxicities to Tetrahymena pyriformis of compounds within the category were obtained in an effort to develop approaches for (qualitative) read-across. In addition, Salmonella typhimurium (strain TA100) mutagenicity data were analyzed to establish the structural differences between mutagenic and nonmutagenic compounds. These structural differences were compared with the structural characteristics of molecules associated with acute aquatic toxicity in excess of narcosis as well as other end points, for example, skin sensitization. The results indicate that a category can be formed that allows structural information and boundaries to be elucidated. This knowledge will guide future toxicity prediction within this category and assist in the development of category formation.