RSM and AI Based Machine Learning for Quality by Design Development of Rivaroxaban Push-Pull Osmotic Tablets and its PBPK Modeling

RSM and AI Based Machine Learning for Quality by Design Development of Rivaroxaban Push-Pull Osmotic Tablets and its PBPK Modeling

Publication: Sci Rep
Software: GastroPlus®
Division: PBPK

The study is based on applying Artificial Neural Network (ANN) based machine learning and Response Surface Methodology (RSM) as simultaneous bivariate approaches in developing controlled-release rivaroxaban (RVX) osmotic tablets.

A Physiologically Based Pharmacokinetic Model of an Oral Tyrosine Kinase 2 Inhibitor Deucravacitinib in Healthy Adults

A Physiologically Based Pharmacokinetic Model of an Oral Tyrosine Kinase 2 Inhibitor Deucravacitinib in Healthy Adults

Authors: Chen X, Lin Z
Publication: J Clin Pharmacol
Software: GastroPlus®
Division: PBPK

This study presents the first physiologically based pharmacokinetic (PBPK) model for deucravacitinib, a novel oral selective tyrosine kinase 2 (TYK2) inhibitor approved for treating moderate-to-severe plaque psoriasis.

Breaking Barriers in PROTAC Design: Improving Solubility of USP7-Targeting Degraders

Breaking Barriers in PROTAC Design: Improving Solubility of USP7-Targeting Degraders

Publication: ChemRxiv
Software: ADMET Predictor®
Division: Cheminformatics

The development of von Hippel–Lindau (VHL) hijacking proteolysis-targeting chimeras (PROTACs) has been hindered by suboptimal physicochemical properties, including high total polar surface area (TPSA), high hydrogen bond donor (HBD) counts, and poor solubility.

The Sooner, the Better: Early Drug Development Predictions to Assist in Prioritization of Drug Candidates and Resources

The Sooner, the Better: Early Drug Development Predictions to Assist in Prioritization of Drug Candidates and Resources

As the adage goes, “time is money,” and the drug development pipeline is no exception. Separately, both “time” and “money” are crucial considerations at every stage of drug development

Next Generation Risk Assessment of Hair Dye HC Yellow no. 13: Ensuring Protection from Liver Steatogenic Effects

Next Generation Risk Assessment of Hair Dye HC Yellow no. 13: Ensuring Protection from Liver Steatogenic Effects

Publication: Regul Toxicol Pharmacol
Software: GastroPlus®
Division: PBPK

This study employs animal-free Next Generation Risk Assessment (NGRA) principles to evaluate the safety of repeated dermal exposure to 2.5% (w/w) HC Yellow No. 13 (HCY13) hair dye.

Leveraging Model Master Files from a Technology Company Perspective: Facilitating Quantitative Medicine in Regulatory Frameworks

Leveraging Model Master Files from a Technology Company Perspective: Facilitating Quantitative Medicine in Regulatory Frameworks

Publication: Pharm Res
Software: GastroPlus®
Division: PBPK

Model Master Files (MMFs) offer a much needed approach to integrating computational modelling into drug development and regulatory frameworks, supporting the growth of quantitative medicine.

Assessment of Liver Injury Potential of Investigational Medicines in Drug Development

Assessment of Liver Injury Potential of Investigational Medicines in Drug Development

Publication: Hepatology
Software: DILIsym®

Drug-induced liver injury (DILI) is rare in clinical practice but when it occurs it can lead to acute liver failure and death. Drug developers and regulators undertake a series of steps to identify the DILI potential of a medication before it is approved for marketing.

Hansen Solubility Parameters, Computational, and Thermodynamic Models for Tofacitinib Citrate Solubility in Neat Mono Solvents, and GastroPlus Based Predicted In Vivo Performance of Subcutaneous Solution in Humans

Hansen Solubility Parameters, Computational, and Thermodynamic Models for Tofacitinib Citrate Solubility in Neat Mono Solvents, and GastroPlus Based Predicted In Vivo Performance of Subcutaneous Solution in Humans

Publication: AAPS PharmSciTech
Software: GastroPlus®
Division: PBPK

We investigated the experimental solubility of tofacitinib citrate (TNF) in HSPiP predicted mono solvents at varied temperature points, followed by validation with various models (computational and thermodynamic) and GastroPlus based predicted in-vivo performance in individuals (adult humans).

Roles of Supersaturation and Liquid–Liquid Phase Separation for Enhanced Oral Absorption of Poorly Soluble Drugs from Amorphous Solid Dispersions

Roles of Supersaturation and Liquid–Liquid Phase Separation for Enhanced Oral Absorption of Poorly Soluble Drugs from Amorphous Solid Dispersions

Authors: Kawakami K
Publication: Pharmaceutics
Software: GastroPlus®
Division: PBPK

Amorphous solid dispersion (ASD) is one of the most important enabling formulation technologies for the development of poorly soluble drugs.

Molecular Precision Medicine: Application of Physiologically Based Pharmacokinetic Modeling to Predict Drug–Drug Interactions Between Lidocaine and Rocuronium/Propofol/Paracetamol

Molecular Precision Medicine: Application of Physiologically Based Pharmacokinetic Modeling to Predict Drug–Drug Interactions Between Lidocaine and Rocuronium/Propofol/Paracetamol

Authors: Silva A, Mourão J, Vale N
Publication: International Journal of Molecular Sciences
Software: GastroPlus®
Division: PBPK

The perioperative period, encompassing preoperative, intraoperative, and postoperative phases, is crucial for comprehensive patient care.

DDI Risk Assessment to Inform Your Label Optimize Your Program Timeline & Budget with PBPK Modeling

DDI Risk Assessment to Inform Your Label Optimize Your Program Timeline & Budget with PBPK Modeling

Software: GastroPlus®

Every day, scientists in the pharmaceutical industry are tasked with meeting regulatory expectations while also minimizing budget spend by identifying efficiencies for faster development of safer, more effective drugs.

Regulation of Adipocyte Differentiation and Lipid Metabolism by Novel Synthetic Chromenes Exploring Anti-obesity and Broader Therapeutic Potential

Regulation of Adipocyte Differentiation and Lipid Metabolism by Novel Synthetic Chromenes Exploring Anti-obesity and Broader Therapeutic Potential

Publication: Sci Reports
Software: ADMET Predictor®
Division: Cheminformatics

Obesity poses a significant global health challenge, necessitating the search for novel therapeutic agents to address this epidemic.

Avocado Fruit Peel as a Source of Antidiabetic drugs: Evidence from Molecular Docking Studies and ADMET Profiling

Avocado Fruit Peel as a Source of Antidiabetic drugs: Evidence from Molecular Docking Studies and ADMET Profiling

Publication: International Journal of Chemistry and Chemical Processes
Software: ADMET Predictor®
Division: Cheminformatics

Diabetes mellitus is a long-term metabolic disorder characterized by persistent hyperglycemia, which can lead to various health problem if left untreated.