Our Open DEL-ML framework is designed to facilitate end-to-end DEL-ML experiments (Figure ). This framework, which we will apply to hundreds to thousands of proteins [REF: Edwards, submitted], ensures that all ML codes, trained models, and DEL selection results used to train these models will be shared publicly. Additionally, any experimentally verified small molecule binders identified for a given target will be disclosed. This approach diders from previously reported DEL-ML pipelines, which typically restrict the sharing of code, models, data, or often all three . In this study, we describe our Open DEL-ML framework and demonstrate its application in discovering novel small molecule binders for the human protein WDR91.