Patent ID: 8311851
Filing Date: 2012-11-13
Classification: G06Q,G16B,G16C,G16H

Abstract:
1. A method for predicting an adverse drug reaction or substance-factor interaction in a patient, which comprises: a) for a list of patient factors selected from prescription drug usage, substance usage, personal characteristic, phenotype, genotype or clinical factors(s), performing a predictive calculation which comprises: i) selecting culprits from the list, where a culprit is a factor having the property of being an inhibitor or an inducer, said culprits each having an intensity index INTX, where intensity index INTX indicates relative strength of inhibition or induction by each culprit; ii) selecting a sublist of victims from the list, where a victim is a factor having the property of being a metabolic substrate of one or more metabolic routes Rn; iii) identifying each metabolic route associated with said sublist of victims; iv) identifying each interaction pair associated with said each metabolic route, each interaction pair consisting of a victim and a culprit having a known metabolic interaction; v) for each victim of said each interaction pair: calculating a CP score using a processor, by multiplying the intensity index INTX associated with the culprit times a metabolic throughput proportion R.sub.1/1-n, where R.sub.1/1-n is calculated as the metabolic throughput of said each metabolic route Rn divided by a sum of the throughput of all metabolic pathways acting on the victim in parallel; vi) summing the CP scores for each victim and for each interacting pair, and tabulating the sums .SIGMA.CP; vii) from the sums .SIGMA.CP, calculating a predicted percent change AUC for each victim and for each interacting pair; and, b) displaying a report tabulating patient identifier, patient phenotype, factors entered in said list, and percent change AUC for each victim, wherein an elevated percent change AUC is indicative of an adverse drug reaction or substrance:factor interaction.