To develop a more accurate method for predicting Fa, we introduced key GUTFW parameters (Do, Dn, and Pn) into the ML models. The statistical results are shown in When we reconsidered the combined effect of descriptors in the graph-based method, a report on in vivo clearance indicated that graph representation may not always outperform chemical structure descriptors .