ABSTRACT
ABSTRACT It is now well admitted that structurally diverse xenobiotics have the potential to adversely affect the hormonal status of a wide variety of species, including humans, leading to abnormal development and reproductive dysfunctions. In vivo and in vitro tests have been designed for detecting endocrine disruption effects, but the number of chemicals to test is so high that to save time and money, (quantitative) structure-activity relationship [(Q)SAR] models have been proposed as surrogate of these different laboratory assays. The aim of this chapter was to review the main modeling strategies used for deriving these (Q)SARs. An attempt was also made to stress the advantages and limitations of these in silico approaches used for predicting endocrine disruption.
