In a previous study by some of the authors of this work, DEL-ML was used to identify ligands for WDR91 . Both studies used the same WDR91 protein construct and followed similar validation protocols, providing a unique opportunity to compare the performance of diderent models and DEL libraries. For example, the previous study had access to chemical structures and employed a graph convolutional neural network (GCCN) ML model trained on a much larger DEL library of 125 billion compounds. Unfortunately, the data and model from the previous work are not publicly available, severely restricting the possibility of performing detailed comparative analyses, which are crucial for refining model performance, understanding the impact of diderent DEL libraries, and driving further advancements in DEL-ML methodologies.