Evaluating supersaturation in vitro and predicting its performance in vivo with Biphasic Gastrointestinal Simulator: A case study of a BCS IIB drug

Evaluating supersaturation in vitro and predicting its performance in vivo with Biphasic Gastrointestinal Simulator: A case study of a BCS IIB drug

Publication: Int J Pharm
Software: GastroPlus®

This study aimed to develop an evaluation approach for supersaturation by employing an in vitro bio-mimicking apparatus designed to predict in vivo performance.

Got to Write a Classic: Classical and Perturbation-Based QSAR Methods, Machine Learning, and the Monitoring of Nanoparticle Ecotoxicity

Got to Write a Classic: Classical and Perturbation-Based QSAR Methods, Machine Learning, and the Monitoring of Nanoparticle Ecotoxicity

Publication: Methods in Pharmacology and Toxicology
Software: ADMET Predictor®

Machine learning has become a central feature in the development or refinement of in silico methodologies and techniques.

Modelling pharmacokinetics and pharmacodynamics of the selective S1P 1 receptor modulator cenerimod in healthy subjects and systemic lupus erythematosus patients

Modelling pharmacokinetics and pharmacodynamics of the selective S1P 1 receptor modulator cenerimod in healthy subjects and systemic lupus erythematosus patients

Publication: Br J Clin Pharmacol

Assessment of time to attain steady state as well as drug accumulation following long-term treatment with the selective sphingosine-1-phosphate 1 (S1P1 ) receptor modulator cenerimod and prediction of the incidence of low total lymphocyte (LY) counts.

An industrial approach towards solid dosage development for first-in-human studies: Application of predictive science and lean principles

An industrial approach towards solid dosage development for first-in-human studies: Application of predictive science and lean principles

Publication: Drug Discov Today
Software: GastroPlus®

Tablet development is challenging during early clinical phases of drug discovery because of dose uncertainty, limited active pharmaceutical ingredient availability, and short lead times.

Bridging inhaled aerosol dosimetry to physiologically based pharmacokinetic modeling for toxicological assessment: nicotine delivery systems and beyond

Bridging inhaled aerosol dosimetry to physiologically based pharmacokinetic modeling for toxicological assessment: nicotine delivery systems and beyond

Publication: Crit Rev Toxicol
Software: GastroPlus®

One of the challenges for toxicological assessment of inhaled aerosols is to accurately predict their deposited and absorbed dose.

Physiologically Based Pharmacokinetic Model to Support Ophthalmic Suspension Product Development

Physiologically Based Pharmacokinetic Model to Support Ophthalmic Suspension Product Development

Publication: AAPS J
Software: GastroPlus®
Division: PBPK

FDA’s Orange Book lists 17 currently marketed active pharmaceutical ingredients (API) formulated within ophthalmic suspensions in which a majority has 90% or more of the API undissolved.

In Vitro Dissolution and in Silico Modeling Shortcuts in Bioequivalence Testing

In Vitro Dissolution and in Silico Modeling Shortcuts in Bioequivalence Testing

Publication: Pharmaceutics

To review in vitro testing and simulation platforms that are in current use to predict in vivo performances of generic products as well as other situations to provide evidence for biowaiver and support drug formulations development.

The Significance of Utilizing In Vitro Transfer Model and Media Selection to Study the Dissolution Performance of Weak Ionizable Bases: Investigation Using Saquinavir as a Model Drug

The Significance of Utilizing In Vitro Transfer Model and Media Selection to Study the Dissolution Performance of Weak Ionizable Bases: Investigation Using Saquinavir as a Model Drug

Publication: AAPS PharmSciTech
Software: GastroPlus®

This study investigated the dissolution behavior of BCS class II ionizable weak base Saquinavir and its mesylate salt in the multi-compartment transfer setup employing different composition of dissolution media.