In silico model of drug permeability across sublingual mucosa.

The objective of this work was to develop an in silico model to predict the sublingual permeability of a drug based on physicochemical descriptors of a molecule. Fourteen model drugs with diverse physicochemical properties were selected for this study. Molecular volume, molecular weight, logP, logD (pH 6.

In silico prediction of drug permeability across buccal mucosa.

Purpose: To develop and validate a computational model capable of predicting buccal permeability based on various structural and physicochemical descriptors.

Methods: Apparent permeability coefficients (K(p)) of 15 different drugs across porcine buccal mucosa were determined. Multiple linear regression (MLR) and maximum likelihood estimations (MLE) were used to develop the model based on a training set of 15 drugs with permeability as the response variable and the various descriptors as the predictor variables.

HPLC detection of marker compounds during buccal permeation enhancement studies.

A simple, isocratic and sensitive high-performance liquid chromatographic (HPLC) method was developed and validated for the simultaneous analysis of marker compounds for the aqueous (atenolol) and lipoidal (lidocaine) pathways during permeation enhancement studies across the buccal mucosa. A reversed-phase C18 column with UV detection at 224 nm was used for chromatographic separation and analysis, respectively. The mobile phase contained a mixture of acetonitrile-methanol-monobasic potassium phosphate (pH 3.

Effect of thermodynamic activities of the unionized and ionized species on drug flux across buccal mucosa.

The objective of this work was to delineate the contribution of thermodynamic activities of ionized and unionized species on buccal drug permeation. The flux and permeability of a model acidic (nimesulide) and basic (bupivacaine) drug were determined across porcine buccal mucosa at different pH conditions. Thermodynamic activities of ionized and unionized drug species were expressed as degree of saturation (DS) and also calculated using a modified Debye-Hückel equation.

Transport of a novel anti-cancer agent, fenretinide across Caco-2 monolayers.

Fenretinide is a synthetic retinoid with chemotherapeutic activity against various malignancies. Upon oral administration to animals, fenretinide was found to be incompletely absorbed and excreted primarily in feces. The purpose of this study was to determine the possible reasons for poor oral absorption of fenretinide using Caco-2 cell monolayers.