Probabilistic Neural Network Models For Predicting Metabolism Of Tableted Medicines According To Biopharmaceutical Drug Disposition Classification System

Abstract

The accurate prediction of drug metabolism is crucial in pharmaceutical research, as it influences drug efficacy, safety, and regulatory approval. The Biopharmaceutics Drug Disposition Classification System provides a framework for understanding drug absorption, distribution, metabolism, and excretion based on solubility and permeability. However, traditional experimental approaches for assessing metabolism are time-consuming and resourceintensive. Probabilistic neural network offers a promising alternative by enabling rapid and reliable predictions of drug metabolism, particularly for solid dosage forms.