Prediction of the cause, effects, and prevention of drug-nutrient interactions using attributes and attribute values.
Drug-nutrient interactions and their adverse outcomes have previously been identified by observation, investigation, and literature reports. Knowing the attributes of the drugs, availability of knowledge base management systems for microcomputer use can facilitate prediction of the mechanism and the effects of drug-nutrient interactions. Examples used to illustrate this approach are prediction of lactose intolerance in drug-induced malabsorption, and prediction of the mechanism responsible for drug-induced flush reactions. In the future we see that there may be many opportunities to use this system further in the investigation of complex drug-nutrient interactions.
D004347:Drug Interactions; D005483:Flushing / Q000209:etiology; D005502:Food; D006801:Humans; D007787:Lactose Intolerance / Q000139:chemically induced; D008838:Microcomputers; D011336:Probability