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Computational Biology and in silico Toxicodynamics
Citation:
Knudsen, T., R. Spencer, J. Pierro, AND Nancy C. Baker. Computational Biology and in silico Toxicodynamics. Current Opinion in Toxicology. Elsevier BV, AMSTERDAM, Netherlands, 23-24(Oct-Dec 2020):119-126, (2020). https://doi.org/10.1016/j.cotox.2020.11.001
Impact/Purpose:
This is an invited review on the subject of in silico toxicodynamics and computer modeling..
Description:
New approach methodologies (NAMs) refer to any non-animal technology, methodology, approach, or combination thereof that can be used to provide information on chemical hazard and risk assessment that avoids the use of intact animals. A spectrum of in silico models is needed for the integrated analysis of various domains in toxicology to improve predictivity and reduce animal testing. This review focuses on in silico approaches, computer models, and computational intelligence for developmental and reproductive toxicity (predictive DART), providing a means to measure toxicodynamics in simulated systems for quantitative prediction of adverse outcomes phenotypes.
