Refining Predictions of Food Effects on Drug Absorption: Models Predicting Gastric Emptying and Bile Concentrations Based on Fat Content and Caloric Intake

Refining Predictions of Food Effects on Drug Absorption: Models Predicting Gastric Emptying and Bile Concentrations Based on Fat Content and Caloric Intake

Authors: Mullin JM
Conference: AAPS
Software: GastroPlus®
Division: PBPK

In the realm of pharmaceutical R&D, the quest for enhanced predictive accuracy and efficiency for Fed State PBPK models has never been more pressing.

Mechanistic modeling of intramuscular administration of long-acting injectable suspensions accounting for fibrosis at the depot site

Mechanistic modeling of intramuscular administration of long-acting injectable suspensions accounting for fibrosis at the depot site

Conference: AAPS
Software: GastroPlus®
Division: PBPK

Antipsychotic drugs formulated as long-acting injectables (LAIs) significantly improve patient compliance compared to regimens that require daily oral administration.

Physiologically Based Pharmacokinetic (PBPK) Modeling of Fexofenadine and Assessment of Transporter DDIs of Fexofenadine with P-gp inducers and inhibitors

Physiologically Based Pharmacokinetic (PBPK) Modeling of Fexofenadine and Assessment of Transporter DDIs of Fexofenadine with P-gp inducers and inhibitors

Conference: AAPS
Software: GastroPlus®
Division: PBPK

Fexofenadine (FEX), a H1-receptor antagonist used in the treatment of allergic rhinitis and chronic idiopathic urticaria, undergoes minimal metabolism and transporters play a major role in its absorption and disposition.

Predictive performance of physiologically based kinetic (PBK) models based on in silic o/ in vitro to in vivo extrapolation (IS/IVIVE)

Predictive performance of physiologically based kinetic (PBK) models based on in silic o/ in vitro to in vivo extrapolation (IS/IVIVE)

Authors: Kalra P, Zhou H, Lawless M
Conference: EuroTox
Division: PBPK

The applicability of PBK modelling in next generation risk assessment ( hinges on accurate prediction of human plasma concentrations without reliance on animal in vivo kinetics data.

The application of AI-driven Drug Discovery technology for molecular optimization of nuclear receptor ligands

The application of AI-driven Drug Discovery technology for molecular optimization of nuclear receptor ligands

Authors: Bachorz RA
Conference: Ninth Joint Sheffield Conference on Chemoinformatics
Software: ADMET Predictor®
Division: PBPK

Nuclear receptors (NRs) are a superfamily of transcription factors whose activity is regulated upon the binding of a specific ligand.

Physiologically-Based Pharmacokinetic Modelling of Rivoceranib Parent and Metabolite to Project DDI Risk and Support Regulatory Decision-Making

Physiologically-Based Pharmacokinetic Modelling of Rivoceranib Parent and Metabolite to Project DDI Risk and Support Regulatory Decision-Making

Conference: DDI
Software: GastroPlus®
Division: PBPK

The PBPK model for rivoceranib, an anticancer drug acting as a tyrosine kinase inhibitor (TKI) that selectively targets vascular...

Clinical Ocular Exposure Extrapolation Using PBPK Modeling and Simulation: Besifloxacin Suspension Case Study

Clinical Ocular Exposure Extrapolation Using PBPK Modeling and Simulation: Besifloxacin Suspension Case Study

Conference: ARVO
Software: GastroPlus®
Division: PBPK

The purpose of this research is to demonstrate the ability of O-PBPK models, validated against rabbit PK data, to predict clinical ocular exposure, following topical administration of ophthalmic suspensions

Validation of PBPK-Based Translation to Predict Monoclonal Antibody Pharmacokinetics in Pediatric Populations

Validation of PBPK-Based Translation to Predict Monoclonal Antibody Pharmacokinetics in Pediatric Populations

Conference: AAPS
Software: GastroPlus®
Division: PBPK

Accurate prediction of the pediatric dose is a necessity before conducting a clinical trial or using a drug product in standard clinical practices.