Critique of the two-fold measure of prediction success for ratios: application for the assessment of drug-drug interactions.

@article{Guest2011CritiqueOT,
  title={Critique of the two-fold measure of prediction success for ratios: application for the assessment of drug-drug interactions.},
  author={Eleanor J. Guest and Leon Aarons and J. Brian Houston and Amin Rostami-Hodjegan and Aleksandra Galetin},
  journal={Drug metabolism and disposition: the biological fate of chemicals},
  year={2011},
  volume={39 2},
  pages={170-3}
}
Current assessment of drug-drug interaction (DDI) prediction success is based on whether predictions fall within a two-fold range of the observed data. This strategy results in a potential bias toward successful prediction at lower interaction levels [ratio of the area under the concentration-time profile (AUC) in the presence of inhibitor/inducer compared with control is <2]. This scenario can bias any assessment of different DDI prediction algorithms if databases contain large proportion of… CONTINUE READING

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