Advancing Biologic Drug Development Through Physiologically Based Pharmacokinetic Modelling and Simulations

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 3211

Special Issue Editors


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Guest Editor

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Guest Editor
1. Department of Pharmacy and Pharmaceutical Technology and Parasitology, University of Valencia, Valencia, Spain
2. Interuniversity Research Institute for Molecular Recognition and Technological Development, University of Valencia, Valencia, Spain
Interests: absorption; DDIs; PBPK; PBBM; drug metabolism and transport; biologics; mechanistic drug modelling

Special Issue Information

Dear Colleagues,

Biologic drugs represent an excellent opportunity to effectively and safely treat many diseases. These advanced therapies bring to the therapeutic options the “magic bullet” concept Paul Ehrlich proposed in the 19th century. However, understanding the pharmacokinetics and pharmacodynamics in the systemic circulation, specific tissues, and the site of action is of great interest to the scientific community in efficiently developing effective and safe drugs for our patients. Because of this, we are pleased to invite you to contribute to the Special Issue entitled “Advancing Biologic Drug Development Through Physiologically Based Pharmacokinetic Modelling and Simulations”.

This Special Issue aims to collect research works where physiologically based pharmacokinetic modeling strategies have been used to advance the knowledge of biological drugs during drug discovery and development.

In this Special Issue, original research articles and reviews are welcome. Research areas may include, but are not limited to, biologics disposition, tissue distribution, receptor occupancy prediction, first-in-human dose selection, dose regimen optimization, and special populations.

We look forward to receiving your contributions. 

Dr. Victor Mangas Sanjuán
Dr. Javier Reig-Lopez
Guest Editors

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Keywords

  • monoclonal antibodies
  • antibody-drug conjugates
  • bispecific antibodies
  • PBPK
  • target-mediated drug disposition
  • lysosomal degradation
  • FcRn binding
  • special populations

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Published Papers (3 papers)

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Research

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11 pages, 9036 KiB  
Article
Physiologically Based Pharmacokinetic Modeling of Biologic Case Studies in Monkeys and Humans Reveals the Necessity of an Additional Clearance Term
by Felix Stader, Pradeep Sharma, Weize Huang, Mary P. Choules, Marie-Emilie Willemin, Xinwen Zhang, Estelle Yau, Abdallah Derbalah, Adriana Zyla, Cong Liu and Armin Sepp
Pharmaceutics 2025, 17(5), 560; https://doi.org/10.3390/pharmaceutics17050560 - 24 Apr 2025
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Abstract
Background/Objectives: Physiologically based pharmacokinetic (PBPK) modeling is an important tool in biologic drug development. However, a standardized modeling strategy is currently missing. A cross-industry collaboration developed PBPK models for seven case studies, including monoclonal antibodies, antibody–drug conjugates, and bispecific T-cell engagers, to [...] Read more.
Background/Objectives: Physiologically based pharmacokinetic (PBPK) modeling is an important tool in biologic drug development. However, a standardized modeling strategy is currently missing. A cross-industry collaboration developed PBPK models for seven case studies, including monoclonal antibodies, antibody–drug conjugates, and bispecific T-cell engagers, to identify key parameters and establish a workflow to simulate biologic drugs in monkeys and in humans. Methods: PBPK models were developed in the monkey with limited data, including the molecular weight, the binding affinity to FcRn, and the additional systemic clearance of IgG, which is 20% of the total clearance. The binding affinity was only available for human FcRn and corrected for the known species-dependent differences in IgG binding. The strategy of monkey simulations was evaluated with an additional 14 studies published in the literature. Three different scenarios were simulated in humans afterwards: without, with allometrically scaled, and with optimized additional systemic clearance. Results: The plasma peak concentration and the area under the curve were predicted within 50% of the observed data for all studied case examples in the monkey, which demonstrates that sparse input parameters are sufficient for successful predictions in the monkey. Simulations in humans demonstrated the need for additional systemic clearance, because drug exposure was highly overpredicted without an additional systemic clearance term. Allometric scaling improved the predictions, but optimization led to the best fit, which is currently a limitation in the translation from animals to humans. Conclusions: This work highlights the importance of understanding the general mechanisms of drug uptake in different tissue types and cells in both target-dependent and -independent processes. Full article
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18 pages, 3427 KiB  
Article
Whole-Body Physiologically Based Pharmacokinetic Modeling of GalNAc-Conjugated siRNAs
by Emilie Langeskov Salim, Kim Kristensen and Erik Sjögren
Pharmaceutics 2025, 17(1), 69; https://doi.org/10.3390/pharmaceutics17010069 - 6 Jan 2025
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Abstract
Background/Objectives: N-acetyl-galactosamine small interfering RNAs (GalNAc-siRNA) are an emerging class of drugs due to their durable knockdown of disease-related proteins. Direct conjugation of GalNAc onto the siRNA enables targeted uptake into hepatocytes via GalNAc recognition of the Asialoglycoprotein Receptor (ASGPR). With a [...] Read more.
Background/Objectives: N-acetyl-galactosamine small interfering RNAs (GalNAc-siRNA) are an emerging class of drugs due to their durable knockdown of disease-related proteins. Direct conjugation of GalNAc onto the siRNA enables targeted uptake into hepatocytes via GalNAc recognition of the Asialoglycoprotein Receptor (ASGPR). With a transient plasma exposure combined with a prolonged liver half-life, GalNAc-siRNA exhibits distinct disposition characteristics. We aimed to develop a generic GalNAc-siRNAs whole-body physiologically based pharmacokinetic–pharmacodynamic (WB-PBPK-PD) model for describing the pharmacokinetic–pharmacodynamic (PK-PD) relationship and overall tissue distribution in the open-source platform Open Systems Pharmacology Suite. Methods: Model development was performed using published studies in mice leveraging the PK-Sim® standard implementation for large molecules with added implementations of ASGPR-mediated liver disposition and downstream target effects. Adequate model performance was achieved across study measurements and included studies adopting a combination of global and compound-specific parameters. Results: The analysis identified significant compound dependencies, e.g., endosomal stability, with direct consequences for the pharmacological effect. Additionally, knowledge gaps in mechanistic understanding related to extravasation and overall tissue distribution were identified during model development. The presented study provides a generic WB-PBPK-PD model for the investigation of GalNAc-siRNAs implemented in a standardized open-source platform. Full article
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Review

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28 pages, 7155 KiB  
Review
Accelerating Biologics PBPK Modelling with Automated Model Building: A Tutorial
by Abdallah Derbalah, Tariq Abdulla, Mailys De Sousa Mendes, Qier Wu, Felix Stader, Masoud Jamei, Iain Gardner and Armin Sepp
Pharmaceutics 2025, 17(5), 604; https://doi.org/10.3390/pharmaceutics17050604 - 2 May 2025
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Abstract
Physiologically based pharmacokinetic (PBPK) modelling for biologics, such as monoclonal antibodies and therapeutic proteins, involves capturing complex processes, including target-mediated drug disposition (TMDD), FcRn-mediated recycling, and tissue-specific distribution. The Simcyp Designer Biologics PBPK Platform Model offers an intuitive and efficient platform for constructing [...] Read more.
Physiologically based pharmacokinetic (PBPK) modelling for biologics, such as monoclonal antibodies and therapeutic proteins, involves capturing complex processes, including target-mediated drug disposition (TMDD), FcRn-mediated recycling, and tissue-specific distribution. The Simcyp Designer Biologics PBPK Platform Model offers an intuitive and efficient platform for constructing mechanistic PBPK models with pre-defined templates and automated model assembly, reducing manual input and improving reproducibility. This tutorial provides a step-by-step guide to using the platform, highlighting features such as cross-species scaling, population variability simulations, and flexibility for model customization. Practical case studies demonstrate the platform’s capability to streamline workflows, enabling rapid, mechanistic model development to address key questions in biologics drug development. By automating critical processes, this tool enhances decision-making in translational research, optimizing the modelling and simulation of large molecules across discovery and clinical stages. Full article
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