Using absolute and relative reasoning in the prediction of the potential metabolism of xenobiotics.
To be useful, a system which predicts the metabolic fate of a chemical should predict the more likely metabolites rather than every possibility. Reasoning can be used to prioritize biotransformations, but a real biochemical domain is complex and cannot be fully defined in terms of the likelihood of events. This paper describes the combined use of two models for reasoning under uncertainty in a working system, METEOR-one model deals with absolute reasoning and the second with relative reasoning.
D003511:Cyclohexanols / Q000737:chemistry / Q000378:metabolism; D005103:Expert Systems; D008803:Mianserin / Q000737:chemistry / Q000378:metabolism; D008954:Models, Biological; D009271:Naltrexone / Q000031:analogs & derivatives* / Q000737:chemistry / Q000378:metabolism; D010640:Phenothiazines / Q000737:chemistry / Q000378:metabolism; D000644:Quaternary Ammonium Compounds; D000069470:Venlafaxine Hydrochloride; D015262:Xenobiotics / Q000737:chemistry / Q000378:metabolism*
D003511:Cyclohexanols; D010640:Phenothiazines; D000644:Quaternary Ammonium Compounds; D015262:Xenobiotics; C032257:methylnaltrexone; D008803:Mianserin; D009271:Naltrexone; D000069470:Venlafaxine Hydrochloride; C040634:sulforidazine