Titlebook: Computational Toxicology; Methods and Protocol Orazio Nicolotti Book 2025Latest edition The Editor(s) (if applicable) and The Author(s), un

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Toxicity Potential of Nutraceuticalsumans and animals due to their easy access, cost-effectiveness, and tolerability with a wide margin of safety. While some nutraceuticals are safe, others have an inherent toxic potential. For a large number of nutraceuticals, no toxicity/safety data are available due to a lack of pharmacological/tox

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Development, Use, and Validation of (Q)SARs for Predicting Genotoxicity and Carcinogenicity: Experieg. Among in silico tools, quantitative and qualitative structure–activity approaches ((Q)SARs) are the most typically applied methods to predict hazard in the absence of experimental data. This paper provides an overview of different protocols that can be applied while dealing with (Q)SARs in differ

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Adverse Outcome Pathways Mechanistically Describing Hepatotoxicityrse outcome via a series of key events and key event relationships. In the field of computational toxicology, AOPs can potentially facilitate the design and development of in silico prediction models for hazard identification. Various AOPs have been introduced for several types of hepatotoxicity, su

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In Vitro Cell-Based MTT and Crystal Violet Assays for Drug Toxicity Screeningg is therefore a fundamental step in drug discovery research. Herein, we describe the first line of toxicology testing program, consisting in cell-based high-throughput screening assays, which have the advantage of being easy, rapid, cheap, and reproducible while providing quantitative information.