Assuming that our XGBoost can precisely predict binding of a E3 ligase with a small molecule with highest probability, we applied it to predict some libraries which might be useful to be tested as a source of E3 ligands or as a possible source of molecular glues. There is an enormous interest to filter the most promising molecules from commercial databases . On the other side, E3 ligase pockets have been described in ELIOT (), a platform containing the E3 ligase pocketome to enable navigation and selection of new E3 ligases and new ligands for the design of new PROTACs . AlphaFold database () is naturally another source, so far untapped, for E3 ligase cavities. Moreover, the opportunities to synthesize novel E3 ligase ligands have also been reported . Thus, using the 1257 compounds from Asinex molecular degrader collection (), and assuming that all the compounds would be binding an E3 ligase, as actual stand of molecular glue mediated degradation suggests, we ended up revealing that the commercial collection is heavily skewed towards probable CRBN binders (35%) and with only 3% possibly selecting VHL. We repeated this experiment using one of the major sources of repurposing compounds publicly available, i.e., the compounds from the Broad library collection (, version: 9/7/2018). Assuming again, of course wrongly, that all compounds could be E3 ligase binders, we wanted to check which ligases could be eventually predicted as more probable for those compounds and found that 18% of the molecules collected there could be indeed a CRBN binder. We are experimentally exploring this collection in order to find degrader (J. . This is just an application of the many possibilities: so, for example, any collections or proprietary compounds could be filtered taking advantage of the simplicity of the ErG scheme.