The development of SAR involves several steps. Initially, a dataset of compounds with known activities is collected. These compounds are then analyzed to identify molecular descriptors that correlate with their biological activity. Computational methods such as quantitative structure-activity relationship (QSAR) models are often employed to establish these correlations. Once the model is validated, it can be used to predict the activity of new compounds.
