Patent ID: 8099298

Claim:
A method for predicting a substance-factor interaction, which comprises: a) providing a graphical user interface, a host system, and a database, wherein said graphical user interface is configured for: i) accessing a patient record in said database, said patient record comprising a patient identifier and a first patient phenotype; ii) entering one or more factors into a list associated with said patient identifier, wherein said one or more factors are selected from the group consisting of prescription drug, substance, and personal characteristic; b) providing a predictive algorithm implemented on said host system, said algorithm having instructions for performing operations on said database, said patient record and said associated list, wherein said operations comprise: i) unbundling the list of factors, thereby forming an unbundled list; ii) selecting culprits from the unbundled list, where each culprit is a factor having the property of being an inhibitor or an inducer and retrieving from said database an intensity index INTX for each culprit, where intensity index INTX indicates relative strength of inhibition or induction by each culprit; iii) selecting victims from the unbundled list, where a victim is a factor having the property of being a metabolic substrate of one or more metabolic routes Rn; iv) identifying from said database each metabolic route associated with said sublist of victims; v) identifying each interaction pair associated with said each metabolic route, each interaction pair consisting of a victim and a culprit; vi) for each victim of said each interaction pair: calculating a CP score by multiplying an intensity index INTX associated with the culprit times a metabolic throughput proportion R 1/1-n , where R 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; vii) summing the CP scores for each victim and for each interacting pair, and tabulating the sums ΣCP; viii) from the sums ΣCP, computing a change percent AUC for each victim and for each interacting pair; ix) displaying a Type II report tabulating patient identifier, patient phenotype, factors entered in said list, and change % AUC for each victim; and, c) flagging the report as a billable service.