
pmid: 19620100
Abstract Motivation: Different mathematical methods have emerged in the post-genomic era to determine metabolic pathways. These methods can be divided into stoichiometric methods and path finding methods. In this paper we detail a novel optimization model, based upon integer linear programming, to determine metabolic pathways. Our model links reaction stoichiometry with path finding in a single approach. We test the ability of our model to determine 40 annotated Escherichia coli metabolic pathways. We show that our model is able to determine 36 of these 40 pathways in a computationally effective manner. Contact: john.beasley@brunel.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online.
570, Optimization model, Escherichia coli Proteins, Computational Biology, Escherichia coli metabolic pathways, 004, Integer linear programming, Metabolic pathways, Escherichia coli, Genome, Bacterial, Metabolic Networks and Pathways
570, Optimization model, Escherichia coli Proteins, Computational Biology, Escherichia coli metabolic pathways, 004, Integer linear programming, Metabolic pathways, Escherichia coli, Genome, Bacterial, Metabolic Networks and Pathways
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