There are several types of toxicity models, each serving a unique purpose:
Quantitative Structure-Activity Relationship (QSAR) Models: These models predict the toxicity of a compound based on its chemical structure. By analyzing known toxicities of similar compounds, QSAR models can estimate the potential toxicity of new chemicals. Physiologically Based Pharmacokinetic (PBPK) Models: These models simulate how a chemical is absorbed, distributed, metabolized, and excreted in an organism. They help in understanding the dose-response relationship. Toxicogenomics Models: By integrating genomic data, these models assess how gene expression is altered in response to toxicants, providing insights into the mechanisms of toxicity. In Silico Models: These are computer-based models that use algorithms and databases to predict toxicity, often used when experimental data is scarce.
