In this work, we applied computational modeling to understand the productivity of building blocks in DELs and predict how individual building blocks can be combined to form compounds that are likely to be active. We developed a simple and interpretable method to predict the behavior of new building blocks, their interactions with known building blocks, and the activity of full compounds.