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New publication: Merck scientist uses Simcyp Simulator in investigation of mechanism-based inhibition
Date: 12 May 2010
A paper, to be printed in the journal Drug Metabolism and Disposition, describes a study undertaken to evaluate the accuracy of a static model and the Simcyp time-based model in the prediction of drug-drug interactions for 54 compounds.
The author, Ying-Hong Wang, appraised both methods, exploring factors that could affect the results of the drug interaction simulations and gauging the confidence in the predictions when human pharmacokinetic data are available. Wang concluded that that Simcyp provides good predictions of the magnitude of drug interactions with mechanism-based CYP3A inhibitors, however, Kdeg was a sensitive parameter which affected the results in this study.
Interestingly, investigators are increasingly using tools such as parameter estimation to assign values to unknown or uncertain variables.
The paper is entitled ‘Confidence assessment of the Simcyp time-based approach and a static mathematic model in predicting clinical drug-drug interactions for mechanism-based CYP3A inhibitors.’ Please click here for a link to the abstract and full text options.