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A Framework for Quantitative Systems Pharmacology Model Execution

  • 0M&S Decisions FZ LLC, Dubai, UAE. victor.sokolov@msdecisions.tech.
Handbook of Experimental Pharmacology +

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March 20, 2025

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March 20, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

This chapter outlines the quantitative systems pharmacology (QSP) modeling workflow for drug development. It details challenges in model development, calibration, and simulation using ordinary differential equations.

Area Of Science

  • Pharmacology
  • Computational Biology
  • Mathematical Modeling

Background

  • Mathematical models approximate observed patterns, guiding research and development in new medicines, particularly dose-exposure-response relationships.
  • Quantitative Systems Pharmacology (QSP) models mechanistically characterize biological systems and therapeutic interventions.

Purpose Of The Study

  • To provide a comprehensive overview of the QSP modeling workflow.
  • To highlight challenges in QSP model development, calibration, and interpretation.
  • To serve as a resource for both new and experienced QSP modelers.

Main Methods

  • Utilizing ordinary differential equations as a central framework for model construction.
  • Incorporating systematic literature reviews and selecting appropriate structural model equations.
  • Performing system behavior analysis, model qualification, and various model-based simulations.

Main Results

  • QSP model development requires integrating existing knowledge and diverse datasets, balancing complexity and uncertainty.
  • Data scarcity, especially at the human subject level, complicates QSP model calibration, necessitating early sensitivity analyses.
  • Model-based predictions must be carefully aligned with underlying data and mathematical methods.

Conclusions

  • The QSP modeling workflow involves defining, qualifying, and simulating models, with variations based on objectives.
  • Addressing challenges in QSP requires a deep understanding of physiology and advanced parameter estimation techniques.
  • The described workflow offers practical guidance and resources for implementing QSP methodologies.

Keywords:

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