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Area of Science:

  • Pharmacology
  • Computational Biology
  • Drug Development

Background:

  • Quantitative Systems Pharmacology (QSP) modeling is increasingly utilized in the pharmaceutical industry.
  • Standardization of QSP model construction, assessment, and communication is crucial but challenging due to model variability and diverse expertise.
  • The IQ Consortium surveyed industry practices to understand current QSP modeling approaches.

Purpose of the Study:

  • To present the results of a survey on current Quantitative Systems Pharmacology (QSP) modeling practices within the pharmaceutical and biotechnology industries.
  • To provide insights into the methods and applications of QSP models across different drug development stages.
  • To identify key areas for future development in QSP modeling.

Main Methods:

  • A survey was conducted across the pharmaceutical/biotech industry.
  • Data collected focused on current practices, model types, and intended uses of QSP models.
  • Results were analyzed to provide insights into practitioner methods.

Main Results:

  • The survey revealed diverse current practices in QSP modeling across the industry.
  • Insights were gained into methods used by QSP practitioners based on model type and application stage.
  • Key areas for future development were highlighted, including integration with statistical methods and standardization.

Conclusions:

  • Current QSP modeling practices vary significantly, necessitating further standardization.
  • Future developments should focus on integrating statistical methods, standardizing virtual populations, and increasing QSP use in late-stage clinical development and regulatory submissions.