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Parameterization of Physiologically Based Biopharmaceutics Models: Workshop Summary Report
Xavier Pepin1, Sumit Arora2, Luiza Borges3
1Regulatory Affairs, Simulations Plus Inc., 42505 10th Street West, Lancaster, California 93534-7059, United States.
This workshop detailed best practices for Physiologically Based Biopharmaceutics Modeling (PBBM) to ensure drug product quality. Experts discussed model parameterization, regulatory expectations, and methods for predicting in vivo drug performance.
Area of Science:
- Pharmacokinetics and Drug Metabolism
- Pharmaceutical Sciences
- Computational Chemistry
Background:
- Physiologically Based Biopharmaceutics Modeling (PBBM) is crucial for assessing drug product quality.
- Regulatory agencies and industry experts convened to discuss PBBM best practices.
- Model parameterization remains a key challenge in PBBM applications.
Purpose of the Study:
- To share proceedings from a workshop on PBBM best practices for drug product quality.
- To present regulatory perspectives on PBBM case studies and submission requirements.
- To identify and discuss best practices for PBBM parameterization.
Main Methods:
- Compilation of presentations and discussions from a workshop on PBBM.
- Review of regulatory authority feedback on industry-submitted PBBM case studies.
- Exploration of key scientific questions in PBBM parameterization through breakout sessions.
Main Results:
- Regulatory authorities shared key questions and assessment processes for PBBM submissions.
- Best practices for integrating drug solubility, excipient effects, and dissolution were discussed.
- Methods for modeling drug precipitation and permeability for PBBM were explored.
Conclusions:
- Standardized best practices for PBBM parameterization are essential for regulatory acceptance.
- Improved integration of in vitro data and mechanistic modeling enhances in vivo performance predictions.
- Collaboration between industry and regulators is vital for advancing PBBM applications in drug development.
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