Journal
JOURNAL OF BIOPHARMACEUTICAL STATISTICS
Volume 17, Issue 3, Pages 461-480Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/10543400701199593
Keywords
antagonism; drug interaction; Loewe additivity model; response surface model; synergy
Categories
Funding
- NATIONAL CANCER INSTITUTE [P50CA097007, P01CA091844, P30CA016672] Funding Source: NIH RePORTER
- NCI NIH HHS [CA91844, CA97007, CA16672] Funding Source: Medline
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Studying and understanding the joint effect of combined treatments is important in pharmacology and in the development of combination therapies. The Loewe additivity model is one of the best general reference models for evaluating drug interactions. Based on this model, synergy occurs when the interaction index is less than one, while antagonism occurs when interaction index is greater than one. We expound the meaning of the interaction index, and propose a procedure to calculate the interaction index and its associated confidence interval under the assumption that the dose-effect curve for a single agent follows Chou and Talalay's median effect equation. In addition, we review four response surface models based on the Loewe additivity model using a single parameter to determine drug interactions. We describe each of these models in the context of Loewe additivity model and discuss their relative advantages and disadvantages. We also provide S-PLUS/R code for each approach to facilitate the implementation of these commonly used methods.
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