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Group contribution method for thermodynamic analysis of complex metabolic networks
Authors:Jankowski Matthew D  Henry Christopher S  Broadbelt Linda J  Hatzimanikatis Vassily
Institution:* Mayo Clinic, Rochester, Minnesota 55905
Mathematics and Computer Science, Argonne National Laboratory, Argonne, Illinois 60439
Department of Chemical and Biological Engineering, McCormick School of Engineering and Applied Sciences, Northwestern University, Evanston, Illinois 60208
§ Laboratory of Computational Systems Biotechnology, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland
Abstract:A new, to our knowledge, group contribution method based on the group contribution method of Mavrovouniotis is introduced for estimating the standard Gibbs free energy of formation (ΔfG′°) and reaction (ΔrG′°) in biochemical systems. Gibbs free energy contribution values were estimated for 74 distinct molecular substructures and 11 interaction factors using multiple linear regression against a training set of 645 reactions and 224 compounds. The standard error for the fitted values was 1.90 kcal/mol. Cross-validation analysis was utilized to determine the accuracy of the methodology in estimating ΔrG′° and ΔfG′° for reactions and compounds not included in the training set, and based on the results of the cross-validation, the standard error involved in these estimations is 2.22 kcal/mol. This group contribution method is demonstrated to be capable of estimating ΔrG′° and ΔfG′° for the majority of the biochemical compounds and reactions found in the iJR904 and iAF1260 genome-scale metabolic models of Escherichia coli and in the Kyoto Encyclopedia of Genes and Genomes and University of Minnesota Biocatalysis and Biodegradation Database. A web-based implementation of this new group contribution method is available free at http://sparta.chem-eng.northwestern.edu/cgi-bin/GCM/WebGCM.cgi.
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