Today, early characterization of drug properties by the Biopharmaceutics Classification
System (BCS) has attracted significant attention in pharmaceutical discovery and …

Cell membrane permeability is an important determinant for oral absorption and
bioavailability of a drug molecule. An in silico model predicting drug permeability is …

The Caco-2 cell monolayer model is a popular surrogate in predicting the in vitro human
intestinal permeability of a drug due to its morphological and functional similarity with human …

The heterogeneity of the Caco-2 cell line and differences in experimental protocols for
permeability assessment using this cell-based method have resulted in the high variability of …

Permeability is used to describe and evaluate the absorption of drug substances in the
human gastrointestinal tract (GIT). Permeability is largely dependent on fluctuating pH that …

Human effective intestinal membrane permeability (Peff) is one of the two important
indicators for drug classification according to the Biopharmaceutical Classification System …

Permeability across the epithelium is one of the major barriers to drug absorption and is one
property subject to in silico prediction attempts. Prediction models provide a possibility to …

BCS classification is a vital tool in the development of both generic and innovative drug
products. The purpose of this work was to provisionally classify the world's top selling oral …

In the present study, we developed an approach involving a combination of molecular orbital
(MO) calculation and neural network to predict Caco-2 cell permeability (logPapp) from the …

The Caco-2 cell model is widely used to evaluate the in vitro human intestinal permeability
of drugs due to its morphological and functional similarity to human enterocytes. Although it …