MOAtox: A comprehensive mode of action and acute aquatic toxicity database for predictive model development.

The mode of toxic action (MOA) has been recognized as a key determinant of chemical toxicity and as an alternative to chemical class-based predictive toxicity modeling. However, the development of quantitative structure activity relationship (QSAR) and other models has been limited by the availability of comprehensive high quality MOA and toxicity databases. The current study developed a dataset of MOA assignments for 1213 chemicals that included a diversity of metals, pesticides, and other organic compounds that encompassed six broad and 31 specific MOAs. MOA assignments were made using a combination of high confidence approaches that included international consensus classifications, QSAR predictions, and weight of evidence professional judgment based on an assessment of structure and literature information. A toxicity database of 674 acute values linked to chemical MOA was developed for fish and invertebrates. Additionally, species-specific measured or high confidence estimated acute values were developed for the four aquatic species with the most reported toxicity values: rainbow trout (Oncorhynchus mykiss), fathead minnow (Pimephales promelas), bluegill (Lepomis macrochirus), and the cladoceran (Daphnia magna). Measured acute toxicity values met strict standardization and quality assurance requirements. Toxicity values for chemicals with missing species-specific data were estimated using established interspecies correlation models and procedures (Web-ICE; http://epa.gov/ceampubl/fchain/webice/), with the highest confidence values selected. The resulting dataset of MOA assignments and paired toxicity values are provided in spreadsheet format as a comprehensive standardized dataset available for predictive aquatic toxicology model development.

[1]  J. Hermens,et al.  Classifying environmental pollutants , 1992 .

[2]  D. J. Call,et al.  Fish subchronic toxicity prediction model for industrial organic chemicals that produce narcosis , 1985 .

[3]  L. Burgoon,et al.  Molecular target sequence similarity as a basis for species extrapolation to assess the ecological risk of chemicals with known modes of action. , 2013, Aquatic toxicology.

[4]  S. Raimondo,et al.  ICE Aquatic Toxicity Database Documentation , 2012 .

[5]  Douglas M. Young,et al.  Prediction of Aquatic Toxicity Mode of Action Using Linear Discriminant and Random Forest Models , 2013, J. Chem. Inf. Model..

[6]  S. Raimondo,et al.  Influence of taxonomic relatedness and chemical mode of action in acute interspecies estimation models for aquatic species. , 2010, Environmental science & technology.

[7]  Mace G Barron,et al.  Augmenting aquatic species sensitivity distributions with interspecies toxicity estimation models , 2014, Environmental toxicology and chemistry.

[8]  Joshua Lipton,et al.  Association between contaminant tissue residues and effects in aquatic organisms. , 2002, Reviews of environmental contamination and toxicology.

[9]  M. Richter,et al.  In vitro assessment of modes of toxic action of pharmaceuticals in aquatic life. , 2005, Environmental science & technology.

[10]  K. Fent,et al.  Highly active human pharmaceuticals in aquatic systems: A concept for their identification based on their mode of action. , 2010, Aquatic toxicology.

[11]  C. Russom,et al.  Predicting modes of toxic action from chemical structure: Acute toxicity in the fathead minnow (Pimephales promelas) , 1997 .

[12]  Carlie A. LaLone,et al.  Development of an adverse outcome pathway for acetylcholinesterase inhibition leading to acute mortality , 2014, Environmental toxicology and chemistry.

[13]  Johann Gasteiger,et al.  Comparison of Different Classification Methods Applied to a Mode of Toxic Action Data Set , 2004 .

[14]  S. Bradbury,et al.  Fish acute toxicity syndromes and their use in the QSAR approach to hazard assessment. , 1987, Environmental health perspectives.

[15]  H. Könemann Quantitative structure-activity relationships in fish toxicity studies. Part 1: relationship for 50 industrial pollutants. , 1981, Toxicology.

[16]  J. Hermens,et al.  Classifying environmental pollutants: Part 3. External validation of the classification system. , 2000, Chemosphere.

[17]  Ralph Kühne,et al.  Stepwise discrimination between four modes of toxic action of phenols in the Tetrahymena pyriformis assay. , 2003, Chemical research in toxicology.

[18]  Monika Nendza,et al.  Discriminating Toxicant Classes by Mode of Action: 2. Physico‐Chemical Descriptors , 2000 .