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Digitalizing the TIM-1 Model using Computational Approaches-Part One: TIM-1 Data Explorer.

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A new computational tool, TIM-1 Data Explorer, enhances biorelevant dissolution testing by analyzing mass balance in the TIM-1 gastrointestinal model. This tool enables quantitative predictions for drug product performance and PBPK modeling.

Keywords:
PBPK modelingdigital modelin silico modelingin vitro dissolutionoral biopharmaceutics

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Area of Science:

  • Pharmacokinetics and Drug Metabolism
  • In Vitro Drug Testing Technologies

Background:

  • The TIM-1 gastrointestinal model simulates the human digestive system for biorelevant dissolution testing.
  • Current use of TIM-1 data is primarily qualitative, limiting quantitative pharmacokinetic predictions.
  • Physiologically based pharmacokinetic (PBPK) modeling requires more detailed input than standard bioaccessibility data.

Purpose of the Study:

  • To develop a computational tool, TIM-1 Data Explorer, for detailed analysis of fluid and mass balance in the TIM-1 system.
  • To expand the utility of TIM-1 model data beyond bioaccessibility for quantitative predictions.
  • To enable in-depth interpretation of TIM-1 experimental data, including drug dissolution and precipitation.

Main Methods:

  • Development of the TIM-1 Data Explorer computational tool.
  • Validation of the tool using two case studies involving paracetamol and a weakly basic compound (PF-07059013).
  • Analysis of mass balance, dissolution, and precipitation processes within the TIM-1 system.

Main Results:

  • The TIM-1 Data Explorer successfully describes fluid and mass balance within the TIM-1 system.
  • The tool accurately models mass transfer events, as demonstrated with paracetamol.
  • Dissolution and precipitation processes were effectively described for a weakly basic compound using the TIM-1 Data Explorer.

Conclusions:

  • The TIM-1 Data Explorer significantly enhances the quantitative application of TIM-1 gastrointestinal model data.
  • This tool facilitates more accurate PBPK modeling and supports improved drug product design.
  • The computational tool provides deeper insights into drug behavior within the simulated gastrointestinal environment.