期刊
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES
卷 43, 期 5, 页码 1371-1377出版社
AMER CHEMICAL SOC
DOI: 10.1021/ci0202739
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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.
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