Skip to Main Navigation
Skip to Page Content
Share This:

Computational Toxicology Projects

Computational toxicology uses mathematics, informatics, and computer models to better understand toxicity mechanisms and predict toxic effects.


Composite image of illustrated lab on chip

Adverse Outcome Pathways (AOPs)

AOPs outline the mechanisms of substance toxicity by creating models based on historical data. Learn more about NICEATM contributions to developing adverse outcome pathways. Go
Composite image of chemical formulas and mathematical equations

Computer Models of Chemical Activity

NICEATM scientists are developing models that predict toxicity without the need for animal testing. Read more about computer models of toxicity. Go
Diagram of integrated approaches process

Defined Approaches to Testing & Assessment

A defined approach uses input data and a data interpretation procedure to provide toxicity information. Learn about defined approaches developed by NICEATM. Go
ICE logo

ICE: Integrated Chemical Environment

ICE provides data and tools to help with development and evaluation of new testing approaches. Explore and query current ICE data. Go
Composite image representing different facets of alternative modeling

In Vitro to In Vivo Extrapolation (IVIVE)

NICEATM's computational toxicologists are developing methods for conducting IVIVE analyses. Learn more about this extrapolation process. Go