New concepts in toxicology facilitate the use of nonmammalian vertebrate species (e.g., fish) and nonanimal models (nonvertebrates, early embryo vertebrates, or cell-based) as surrogates for mammals. We present a strategy to translate nonmammalian species data to estimate potential impact of chemicals on mammalian species based on highly conserved proteins and biological pathways linked to a defined adverse effect. Protein “targets” and pathway-level information can be mapped across species through identification of orthologs in mammals. Nonmammalian pathway data can be used to identify potential modes of action across species, establish toxicological dose-response relationships, and be used to estimate possible hazard levels of chemicals. Systems-level approaches are identified that offer unique opportunities to incorporate dynamic events such as homeostasis, effects over time, and species-specific parameters relevant to mammals. Ultimately, a pathway-centric focus enables use of alternative models to support protection of mammalian species.
This book is authored by leading international investigators who have real-world experience in relating computational toxicology methods to risk assessment.
The book offers a complete systems perspective to risk assessment prediction, discussing experimental and computational approaches in detail, with: An introduction to toxicology methods and an explanation of computational methods In-depth ...
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 book begins with an introduction to toxicology and relevant technologies and then addresses the most advanced currently available molecular-modelling software and its role in toxicity testing.
Opening with an introduction to the field of computational toxicology and its current and potential applications, the volume continues with ’best practices’ in mathematical and computational modeling, followed by chemoinformatics and ...
Opening with an introduction to the field of computational toxicology and its current and potential applications, the volume continues with ’best practices’ in mathematical and computational modeling, followed by chemoinformatics and ...
This chapter describes some methods in computational toxicology and how to integrate experimental data with computational assessments for supporting risk assessment.
A key resource for toxicologists across a broad spectrum of fields, this book offers a comprehensive analysis of molecular modelling approaches and strategies applied to risk assessment for pharmaceutical and environmental chemicals.
Systems toxicology approaches are also introduced. The volume closes with primers and background on some of the key mathematical and statistical methods covered earlier, as well as a list of other resources.
Humans are exposed to chemicals through voluntary and involuntary actions; to natural and synthetic chemicals all day, every day.