METHODS AND SYSTEMS FOR IMPROVING DRUG INTERACTION PREDICTION AND TREATING BASED ON THE PREDICTIONS

摘要

Examples described herein include methods and systems for improving accuracy of prediction of substance-factor interactions in patients. Example systems may improve drug interaction prediction for a patient taking a drug by comparing computationally predicted changes in AUC for interaction pairs involving the same metabolic pathways as the drug with change in AUC information from clinical data (e.g. clinical studies). A correction factor for use in the computational prediction may be identified which improves the accuracy of the computational predictions relative to the clinical data. The correction factor may be used to provide improved computational predictions of the change in AUC for a drug, when clinical data may be unavailable. There may be no need for a correction factor if a clinical study is available. The improved computational prediction may be used to set and/or change the amount or identity of the drug administered to a patient.

主权项

1. A method for improving drug interaction prediction, the method comprising:
computationally predicting a percent AUC change for a drug based at least in part on an enzyme involved in a metabolic pathway for the drug, wherein said computationally predicting includes utilizing parameters for drug metabolism; comparing the computationally predicted percent AUC change with a stored percent AUC change associated with the drug, wherein the stored percent AUC change is based on clinical data; and providing a correction factor for the enzyme based on said analyzing.