Quercetin-encapsulated magnetoliposomes: Fabrication, optimization, characterization, and antioxidant studies

Quercetin-encapsulated magnetoliposomes: Fabrication, optimization, characterization, and antioxidant studies

Authors: Kar S, Das SS, Singh SK
Publication: Eur J Lipid Sci and Tech
Software: GastroPlus®

Quercetin (QU) faces challenges in its therapeutic efficacy due to its hydrophobic nature and limited oral bioavailability.

Approaches to Account for Colon Absorption in Physiologically Based Biopharmaceutics Modeling of Extended-Release Drug Products

Approaches to Account for Colon Absorption in Physiologically Based Biopharmaceutics Modeling of Extended-Release Drug Products

Publication: Mol Pharm
Software: GastroPlus®

The rate and extent of colon absorption are important determinants of the in vivo performance of extended-release (ER) drug products.

ADME characterization and PBK model development of 3 highly protein-bound UV filters through topical application

ADME characterization and PBK model development of 3 highly protein-bound UV filters through topical application

Publication: Toxicol Sci
Software: ADMET Predictor®
Therapeutic Areas: Dermatology

Estimating human exposure in the safety assessment of chemicals is crucial. Physiologically based kinetic (PBK) models which combine information on exposure, physiology...

Bridging population pharmacokinetic and semimechanistic absorption modeling of APX3330

Bridging population pharmacokinetic and semimechanistic absorption modeling of APX3330

Publication: CPT Pharmacometrics Syst Pharmacol

APX3330 ((2E)-2-[(4,5-dimethoxy-2-methyl-3,6-dioxo-1,4-cyclohexadien-1-yl)methylene]-undecanoic acid), a selective inhibitor of APE1/Ref-1, has been investigated in treatment of hepatitis, cancer, diabetic retinopathy, and macular edema.

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.

Predicting absolute aqueous solubility by applying a machine learning model for an artificially liquid-state as proxy for the solid-state

Predicting absolute aqueous solubility by applying a machine learning model for an artificially liquid-state as proxy for the solid-state

Publication: Journal of Computer-Aided Molecular Design
Software: ADMET Predictor®

In this study, we use machine learning algorithms with QM-derived COSMO-RS descriptors, along with Morgan fingerprints, to predict the absolute solubility of drug-like compounds.

Digitalizing the TIM-1 Model Using Computational Approaches─Part Two: Digital TIM-1 Model in GastroPlus

Digitalizing the TIM-1 Model Using Computational Approaches─Part Two: Digital TIM-1 Model in GastroPlus

Publication: Mol Pharm
Software: GastroPlus®

A TIM-1 model is an in vitro gastrointestinal (GI) simulator considering crucial physiological parameters that will affect the in vivo drug release process.

Ionization Prediction Summit Webinar Series: Session 1 Fundamentals of Ionization

Ionization Prediction Summit Webinar Series: Session 1 Fundamentals of Ionization

Software: ADMET Predictor®
Division: PBPK

In the Ionization Prediction Summit webinar series, leading industry experts will explain ionization, how ionization modeling works, how ionization models are influenced by the large amounts of industrial data...