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Digitalizing the TIM-1 Model using Computational Approaches-Part One: TIM-1 Data Explorer
Inese Sarcevica1, Bart Hens1, Irena Tomaszewska1
1Drug Product Design, Pfizer, Discovery Park, Ramsgate Road, Sandwich CT13 9ND, U.K.
Molecular Pharmaceutics
|October 25, 2023
Summary
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.
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.

