Structure-activity relationships (SAR) analysis is a widely used method in drug discovery to understand and optimize the relationships between the chemical structure of a compound and its biological activity. The fundamental principle behind SAR is that the biological activity of a compound is determined by its interactions with a biological target. The identification of key structural features that contribute towards activity, potency, or selectivity is fundamental for the optimization of molecules and the design of new drugs. Insights from SAR are paramount for the exploration of chemical space at different stages of the drug discovery process, from hit expansion to hitto-lead and lead optimization. Over the past few decades, numerous ground-breaking methods have been developed, underscoring the significance of this approach in medicinal chemistry and drug discovery. The final purpose of the analysis can span from visual representation, quantitative or qualitative analysis, prediction of compound activity, and suggestion of new compounds to test. The application of the EVP methodology for SAR analysis has the advantage of being a fast and intuitive way of visualizing any correlations between activity and the degree of EVPs and EVs. Indeed, the EVP methodology is effective in providing indications on which EVP is associated with the highest/lowest pChEMBL value, or which degree of EV is preferred for a good activity whilst furnishing statistics on the less exploited vectors and opportunity for new unexplored compounds.