We hypothesized that the minimal impact of protein primary sequence information on model performance might be attributed to kinase domain sequences remaining highly conservative within each family. To test this hypothesis we conducted another round of modeling using the data from top 10 most representative human kinases that were selected based on their coverage in the final dataset. The full list of selected kinases is provided in the SI. The methodology for data preparation was similar to the one used for the ABL, ALK, and CDK kinase families. Using Random Forest and XGBoost methods, we developed 144 proteochemometric models, with the top 10 models according to MAE identified and detailed in Figure and.