An integrated prediction model using machine learning and dynamics simulation for the selection of transdermal penetration enhancers.
A rapid screening platform for PEs in transdermal formulations is established using machine learning (ML) approaches based on a self-constructed database and the permeation process of "drug-PE" systems via molecular dynamics simulation (MD) is explored.