After sequencing the DNA barcodes from enriched library members, data analysis flagged 28,778 unique DEL compounds as enriched for binding compared to the background control (see Methods). Additionally, a negative set of 346,817 DEL compounds was selected, with 20% chosen based on similarity to positive hits and the remaining 80% selected randomly. This resulted in a final dataset of 375,595 compounds, with an approximately 1:10 ratio of PTEs (binders) to NTEs (non-binders). The dataset was processed through the Open-DEL-ML framework to generate an ML-ready dataset with precomputed chemical fingerprints and binary activity annotations.