Our Open DEL-ML framework consists of two major phases. First, adinity-based selection in large commercial DELs is used to generate a publicly available, ML-ready dataset. In the second phase, this dataset is utilized for ML modeling, followed by virtual screening (VS) of commercial libraries, with ML-nominated compounds tested using in vitro binding assays (Figure ). In this work, the DEL selection was performed by HitGen using a proprietary library of 3 billion molecules. The results of the DEL selection were binarized, classifying molecules in the screening library into two categories: