Pharmacodynamic Drug-Drug Interactions
Jin Niu1, Robert M Straubinger1, Donald E Mager1
1Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA.
Clinical Pharmacology and Therapeutics
|March 27, 2019
Summary
Quantitative methods are essential for understanding pharmacodynamic drug-drug interactions (DDIs). This review explores modeling and simulation to optimize combination therapies and improve drug development.
Area of Science:
- Pharmacology
- Drug Development
- Computational Biology
Background:
- Pharmacodynamic drug-drug interactions (DDIs) alter drug effects in combination therapy.
- Classifications like synergistic, additive, or antagonistic are often misused.
- Interactions can occur at the same target or via alternate pathways.
Purpose of the Study:
- To review opportunities and challenges in pharmacodynamic DDI studies.
- To highlight quantitative methods for evaluating pharmacodynamic DDIs.
- To emphasize mechanism-based modeling and simulation in DDI research.
Main Methods:
- Literature review of pharmacodynamic DDI studies.
- Exploration of quantitative evaluation techniques.
- Focus on mechanism-based modeling and simulation approaches.
Main Results:
- Modeling and simulation offer quantitative evaluation of pharmacodynamic DDIs.
- Mechanism-based modeling is emphasized for DDI studies.
- Advancements in experimental and computational techniques are crucial.
Conclusions:
- Quantitative assessment of pharmacodynamic DDIs is needed for safe and effective combination therapy.
- Model-informed assessments enhance drug discovery, development, and therapeutics.
- Further advancements will improve the application of pharmacodynamic DDI studies.
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