Case study: Modeling polymor interactions to improve amorphous dispersion design
Computational modeling helps clarify polymer interactions and guide formulation strategies for poorly soluble drug candidates. In this case study, predictive modeling within the OSDPredict™ platform was used to narrow formulation options early, enabling the customer to focus development efforts on the most viable strategies. This approach helped reduce the experimental burden and conserve valuable materials.
With the OSDPredict™ platform, the team was able to:
- Model polymer–drug interactions to assess ASD stability and performance
- Narrow formulation options early in development
- Prioritize the most viable formulation strategies
- Reduce experimental screening and material usage
Key outcomes of using polymer modeling:
- Reduced formulation screening requirements
- Lower material consumption during early development
- Accelerated identification of optimal ASD formulations
- Increased confidence in formulation strategy selection
https://www.patheon.com/us/en/insights-resources/case-studies/polymer-modeling-to-improve-amorphous-solid-dispersion-design.html
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