In this use case, we demonstrated how a set of molecules can be explored under the perspective of SHAP values (T1). Exploring the chemical space considering how a model sees the data can help users to identify interesting groups of compounds. SHAP-based explanations allowed us to confirm that the model seems to identify which regions of the selected compounds contribute positively, and negatively, to hydration free energy (T2).