Here, we apply the EVP methodology to analyze a targetfocused dataset of human adenosine A1 receptor antagonists, enabling us to access valuable SAR information and statistics. The adenosine A1 Receptor, a G-protein coupled receptor, plays a crucial role in regulating essential functions in the central nervous system. Its antagonists, such as methylxanthines, are widely recognized as competitive inhibitors of adenosine in the cells, with a resulting increased release of norepinephrine, dopamine, and serotonin. After extracting the adenosine A1 receptor dataset from ChEMBL, we filtered for molecules containing the well-represented 9Hpurine scaffold, as detailed in the Methods and Models session. EVP-derived statistics were used to generate the plots in Figure . Figures and exemplify, respectively, the probability of EVPs and the dEVP, allowing us to identify the most recurrent EVP and the largest dEVP.