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Determine the interaction of two drugs as synergy, additivity, or antagonism. Software described in "Interaction Index and Different Methods for Determining Drug Interaction in Combination Therapy" by J. Jack Lee, Maiying Kong, and Gregory D. Ayers, and Reuben Lotan in Journal of Biopharmaceutical Statistics (2007), 17 (3), pp. 461-480.

The abstract from the paper follows.

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 the 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 the 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 models.

Contact: J. Jack Lee

Software developed by Maiying Kong

Language: S-PLUS/R

Additional References:

J. Jack Lee and Maiying Kong, Confidence Intervals of Interaction Index for Assessing Multiple Drug Interaction, Statistics in Biopharmaceutical Research (2009), 1 (1), pp. 4-17.

J. Jack Lee and Maiying Kong, A Semiparametric Response Surface Model for Assessing Drug Interaction, Biometrics (2008), 64 (2), pp. 396-405.