The term "QSAR" refers to quantitative structure-activity relationships which can be regarded as computer simulations of possible toxic effects of chemicals. This scientific field blends computer science, biology and chemistry with the goal of identifying correlations between chemical structures and biological effects. A key for developing successful QSAR models is the creation of high quality data for possible side-effects of chemicals. Powerful computer programs then allow scientists to examine hundreds of features in chemical structures and uncover relationships between structures and their side-effects. Those relationships (QSARs) serve as models to predict the side-effects of untested chemicals without ever having to test the chemical. Every QSAR model eliminates the need for animal testing for another side-effect and class of chemicals.
One of the goals of the International QSAR Foundation is to increase funding for QSAR research which is directed toward more streamlined regulatory approaches.
QSAR as a regulatory tool:
