ReviewMolecular pharmaceutics2024
Parameterization of Physiologically Based Biopharmaceutics Models: Workshop Summary Report.
Review in Molecular pharmaceutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- Mechanism-based classification of in vitro-in vivo correlation failures and model-informed strategies for drug product development.Archives of pharmacal research · 2026Review
- Guiding the Molnupiravir Tablet Formulation Using Physiologically Based Biopharmaceutics Modeling and Successfully Establishing Dissolution Safe Space.The AAPS journal · 2026Article
- Physiologically Based Biopharmaceutics Modelling-Best Scientific Practices to Define Drug Product Performance, Latest Regulatory and Industry Perspectives: Workshop Summary Report.Pharmaceutics · 2026Article
- Application of New Approach Methodologies to Improve Oral Biopharmaceutic Assessments.Pharmaceutics · 2026Review
- Physiologically Based Pharmacokinetic (PBPK) Modeling of Oral Drug Absorption for Integrating Nonclinical Data into Human Pharmacokinetic Predictions.The AAPS journal · 2026Review
- Mechanistic mass transport analysis of dissolution of weak-base drugs considering the influence of surface pH in formulations with and without acidifying agents.Frontiers in pharmacology · 2026Article
- Machine learning to predict food effects during drug development: a comprehensive review.Journal of cheminformatics · 2025Review
- Canine Mdr1 Knockout MDCK Cells Reliably Estimate Human Small Intestinal Permeability (Molecular pharmaceutics · 2025Article
- Development of a Universal In Vivo Predictive Dissolution Method for a Borderline BCS III/IV Drug Guided by Modeling and Simulations─Acyclovir as a Case Study.Molecular pharmaceutics · 2025Article
- Formulation of Recombinant Therapeutic Proteins: Technological Innovation, Regulations, and Evolution Towards Buffer-Free Formulations.Pharmaceutics · 2025Review
- Commentary and Review on Prospective Prediction of Bioequivalence of Oral Dosage Forms using Compendial Dissolution Testing and PBPK Modeling.The AAPS journal · 2025Review
- Development of a Physiologically Based Biopharmaceutics Model Report Template: Considerations for Improved Quality in View of Regulatory Submissions.Molecular pharmaceutics · 2025Review
- Advances in Physiologically Based Pharmacokinetic (PBPK) Modeling and its Regulatory Utility to Support Oral Drug Product Development and Harmonization.Pharmaceutical research · 2025Article
- Prediction of surfactant-mediated dissolution of poorly soluble drugs from drug powder.European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences · 2025Article
- Using Model Master Files to Support Oral Drug Product Development and Regulatory Submissions.Pharmaceutical research · 2025Article
- Formulation Strategy of BCS-II Drugs by Coupling Mechanistic In-Vitro and Nonclinical In-Vivo Data with PBPK: Fundamentals of Absorption-Dissolution to Parameterization of Modelling and Simulation.AAPS PharmSciTech · 2025Review
- PBBM Considerations for Base Models, Model Validation, and Application Steps: Workshop Summary Report.Molecular pharmaceutics · 2024Review
Corrections and comments
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Authors and funding
40 authors.
Funding
Abstract
This Article shares the proceedings from the August 29th, 2023 (day 1) workshop "Physiologically Based Biopharmaceutics Modeling (PBBM) Best Practices for Drug Product Quality: Regulatory and Industry Perspectives". The focus of the day was on model parametrization; regulatory authorities from Canada, the USA, Sweden, Belgium, and Norway presented their views on PBBM case studies submitted by industry members of the IQ consortium. The presentations shared key questions raised by regulators during the mock exercise, regarding the PBBM input parameters and their justification. These presentations also shed light on the regulatory assessment processes, content, and format requirements for future PBBM regulatory submissions. In addition, the day 1 breakout presentations and discussions gave the opportunity to share best practices around key questions faced by scientists when parametrizing PBBMs. Key questions included measurement and integration of drug substance solubility for crystalline vs amorphous drugs; impact of excipients on apparent drug solubility/supersaturation; modeling of acid-base reactions at the surface of the dissolving drug; choice of dissolution methods according to the formulation and drug properties with a view to predict the in vivo performance; mechanistic modeling of in vitro product dissolution data to predict in vivo dissolution for various patient populations/species; best practices for characterization of drug precipitation from simple or complex formulations and integration of the data in PBBM; incorporation of drug permeability into PBBM for various routes of uptake and prediction of permeability along the GI tract.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.