It is impractical to determine the logP values and the bpKa values of the compounds in the wet-lab at a bigger scale, at least in an academic setup. Thus, in our study the values of these descriptors are predicted. These descriptors are influential in the study. First, the compound selection is based on the compounds' presence in the PhysChem window, which is the cross-section of the logP values and the bpKa values. Second, these descriptors were found as the most important descriptors by the Descriptor model. Therefore, our analyses might be a↵ected due to the di↵erences in the true and the predicted values of these descriptors. While our internal data is a compilation of diverse compounds over many years, it cannot cover the full chemical space. Our models are trained on this finite data and the hypotheses derived from these results are therefore limited to this representation.