Insights into pharmacokinetic properties for exposure chemicals: predictive modelling of human plasma fraction unbound (fu) and hepatocyte intrinsic clearance (Clint) data using machine learning

Abstract

We have developed regression-based models with the protein fraction unbound (fu) human data set and a classification-based model with the hepatocyte intrinsic clearance (Clint) human data set collected from the recently published ICE database.