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This book provides a comprehensive review of both traditional and cutting-edge methodologies that are currently used in computational toxicology and specifically features its application in regulatory decision making. The authors from various government agencies such as FDA, NCATS and NIEHS industry, and academic institutes share their real-world experience and discuss most current practices in computational toxicology and potential applications in regulatory science. Among the topics covered are molecular modeling and molecular dynamics simulations, machine learning methods for toxicity analysis, network-based approaches for the assessment of drug toxicity and toxicogenomic analyses. Offering a valuable reference guide to computational toxicology and potential applications in regulatory science, this book will appeal to chemists, toxicologists, drug discovery and development researchers as well as to regulatory scientists, government reviewers and graduate students interested in thisfield.

Social pressure to minimize the use of animal testing, the ever-increasing concern on animal welfare, and the need for more human-relevant and more predictive toxicity tests are some of the drivers for new approaches to chemical screening. This book focuses on The Adverse Outcome Pathway, an analytical construct that describes a sequential chain of causally linked events at different levels of biological organization that lead to an adverse health or ecotoxicological effect. While past efforts have focused on toxicological pathway-based vision for human and ecological health assessment relying on in vitro systems and predictive models, The Adverse Outcome Pathway framework provides a simplified and structured way to organize toxicological information. Within the book, a systems biology approach supplies the tools to infer, link, and quantify the molecular initiating events and the key events and key event relationships leading to adverse outcomes. The advancement of these tools is crucial for the successful implementation of AOPs for regulatory purposes.

This book provides comprehensive information on the alternative (non-animal) dermal toxicity test methods currently available for industrial, regulatory, and academic use and also explores potential future developments. It encompasses all areas of dermal toxicity, including skin irritation, skin corrosion, skin sensitization, UV-induced effects, and skin genotoxicity. An individual chapter is devoted to each test method, with coverage of the scientific basis, validation status and regulatory acceptance, applications and limitations, available protocols, and potential role within testing strategies. In addition, perspectives from the test developer are presented, for example regarding critical steps in the protocol. The closing section addresses areas that may be of relevance for the future of dermal toxicity safety testing, including the validation and regulatory acceptance of integrated testing strategies, novel complex skin models, and high-throughput screening techniques.