In Silico Pharmacokinetic and Pharmacodynamic (PK-PD) Modeling
A special issue of Pharmaceutics (ISSN 1999-4923). This special issue belongs to the section "Pharmacokinetics and Pharmacodynamics".
Deadline for manuscript submissions: 30 September 2025 | Viewed by 613
Special Issue Editors
Interests: pharmacokinetics; chirality; drug interactions; formulation and drug delivery
Special Issues, Collections and Topics in MDPI journals
Interests: biopharmaceutics; inhalable nanopartilces; traditional medicines
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Pharmacokinetic and pharmacodynamic (PK-PD) modeling is an essential tool in modern drug development and therapeutic optimization. Leveraging recent advancements in computational methods, including physiologically based pharmacokinetic (PBPK) modeling and machine learning, researchers can simulate complex biological systems, predict therapeutic outcomes, and refine dosing strategies with unprecedented precision.
This Special Issue aims to focus on the transformative integration of in silico approaches into PK-PD modeling, showcasing advancements in methodology, computational tools, and their translational applications. By addressing key challenges in precision medicine, regulatory science, and clinical decision-making, we aim to foster interdisciplinary innovation and broaden the impact of in silico modeling on healthcare outcomes.
Key Topics of Interest:
- Physiologically Based Pharmacokinetic (PBPK) and Toxicokinetic (PBTK) Modeling: Predicting ADME processes across populations and physiological conditions; regulatory applications.
- Population Pharmacokinetics (PopPKs): Mixed-effects modeling of inter-individual variability in drug exposure and response.
- Quantitative Systems Pharmacology (QSP): Integrating systems biology with PK-PD to evaluate drug interactions within complex networks.
- Bayesian Pharmacometric Modeling: Utilizing Bayesian methods to incorporate prior knowledge for personalized therapy optimization.
- Artificial Intelligence and Machine Learning in PK-PD: Applications in drug interaction prediction, dose optimization, and precision medicine.
- In Silico Bioequivalence: Reducing clinical trial reliance through computational approaches.
- Multi-Objective Optimization: Balancing efficacy and toxicity in therapeutic regimens using advanced algorithms.
- Regulatory Science and Quality Assessment: Computational tools in regulatory decision-making and pharmaceutical product evaluation.
- Translational and Predictive Modeling: Real-world case studies demonstrating successful clinical implementation of in silico predictions.
Benefits of Publishing in This Special Issue:
- Enhanced visibility and citation potential through focused dissemination.
- Opportunities for interdisciplinary collaboration across computational biology, clinical pharmacology, and pharmaceutical sciences.
- Contribution to the advancement of cutting-edge in silico modeling techniques and applications.
Submit your manuscript today and contribute to the future of precision pharmacology and computational innovation!
Prof. Dr. Neal M. Davies
Prof. Dr. Raimar Löbenberg
Guest Editors
Manuscript Submission Information
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Keywords
- physiologically based pharmacokinetics (PBPKs)
- population pharmacokinetics (PopPKs)
- quantitative systems pharmacology (QSP)
- Bayesian modeling
- artificial intelligence in PK-PD
- in silico bioequivalence
- multi-objective optimization
- translational pharmacokinetics
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