The models were trained on 80% of the original matrix leaving a test set of 20% for internal validation. The test set was generated by stratification on E3 ligase labels, i.e. each of the class is represented in both training and test sets. All the models have been generated after a 10X cross validation scheme. Wherever necessary, a selection of the top ten most influential ErG bits were generated to try to rationalize the model building.