A graph-theoretic approach to modeling metabolic pathways |
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Authors: | Eric Gifford Mark Johnson Chun-che Tsai |
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Affiliation: | (1) Department of Chemistry, Kent State University, 44242 Kent, OH, U.S.A.;(2) Computational Chemistry, The Upjohn Company, 49001 Kalamazoo, MI, U.S.A. |
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Abstract: | Summary The metabolic pathways of medazepam, oxazepam, and diazepam were modeled using graph-theoretic transforms which are incorporable into computer-assisted metabolic analysis programs. The information, represented in the form of a graph-theoretic transform kit, which was obtained from these pathways was then used to predict the metabolites of other benzodiazepine compounds. The transform kits gave statistically significant predictions with respect to a statistical method for evaluating the performance of the transform kits. |
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Keywords: | Modeling metabolic pathways Chemical graphs Artificial intelligence Transforms |
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