Abstract
Chemicals provide many key building blocks that are converted into end‐use products or used in industrial processes to make products that benefit society. Ensuring the safety of chemicals and their associated products is a key regulatory mission. Current processes and procedures for evaluating and assessing the impact of chemicals on human health, wildlife, and the environment were, in general, designed decades ago. These procedures depend on generation of relevant scientific knowledge in the laboratory and interpretation of this knowledge to refine our understanding of the related potential health risks. In practice, this often means that estimates of dose–response and time-course behaviors for apical toxic effects are needed as a function of relevant levels of exposure. In many situations, these experimentally determined functions are constructed using relatively high doses in experimental animals. In absence of experimental data, the application of computational modeling is necessary to extrapolate risk or safety guidance values for human exposures at low but environmentally relevant levels.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Crump K, Viren J, Silvers A, Clewell H 3rd, Gearhart J, Shipp A (1995) Reanalysis of dose-response data from the Iraqi methylmercury poisoning episode. Risk Anal 15:523–532
Bunce NJ, Remillard RB (2003) Haber’s rule: the search for quantitative relationships in toxicology. Hum Ecol Risk Assess 9:1547–1559
Dedrick RL, Forrester DD (1973) Blood flow limitations in interpreting Michaelis constants for ethanol oxidation in vivo. Biochem Pharmacol 22:1133–1140
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media, LLC
About this protocol
Cite this protocol
El-Masri, H. (2013). Modeling for Regulatory Purposes (Risk and Safety Assessment). In: Reisfeld, B., Mayeno, A. (eds) Computational Toxicology. Methods in Molecular Biology, vol 930. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-62703-059-5_13
Download citation
DOI: https://doi.org/10.1007/978-1-62703-059-5_13
Published:
Publisher Name: Humana Press, Totowa, NJ
Print ISBN: 978-1-62703-058-8
Online ISBN: 978-1-62703-059-5
eBook Packages: Springer Protocols