Quantitative read-across structure-activity relationship (q-RASAR): A novel approach to estimate the subchronic oral safety (NOAEL) of diverse organic chemicals in rats
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Elsevier BV
Reference46 articles.
1. Exploring simple, transparent, interpretable and predictive QSAR models for classification and quantitative prediction of rat toxicity of ionic liquids using OECD recommended guidelines;Das;Chemosphere,2015
2. Quick and efficient quantitative predictions of androgen receptor binding affinity for screening endocrine disruptor chemicals using 2D-QSAR and chemical read-across;Banerjee;Chemosphere,2022
3. First report of q-RASAR modeling toward an approach of easy interpretability and efficient transferability;Banerjee;Mol. Divers,2022
4. On some novel similarity-based functions used in the ML-Based q-RASAR approach for efficient quantitative predictions of selected toxicity end points;Banerjee;Chem. Res. Toxicol.,2023
5. Prediction-inspired intelligent training for the development of classification read-across structure–activity relationship (c-RASAR) models for organic skin sensitizers: assessment of classification error rate from novel similarity coefficients;Banerjee;Chem. Res. Toxicol.,2023
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