SAR is applied in toxicology primarily through computational models and experimental techniques. Computational methods involve the use of algorithms and databases to predict the toxicity of a substance based on known data. These models help identify potentially hazardous compounds before they are synthesized and tested in the laboratory. Experimentally, SAR can guide the design of in vitro and in vivo studies by focusing on specific structural features that are hypothesized to influence toxicity.