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Structural comparison of metabolic networks in selected single cell organisms

dc.contributor.authorZhu, Dongxiao
dc.contributor.authorQin, Zhaohui S
dc.date.accessioned2015-08-07T17:43:48Z
dc.date.available2015-08-07T17:43:48Z
dc.date.issued2005-01-14
dc.identifier.citationBMC Bioinformatics. 2005 Jan 14;6(1):8
dc.identifier.urihttps://hdl.handle.net/2027.42/112784en_US
dc.description.abstractAbstract Background There has been tremendous interest in the study of biological network structure. An array of measurements has been conceived to assess the topological properties of these networks. In this study, we compared the metabolic network structures of eleven single cell organisms representing the three domains of life using these measurements, hoping to find out whether the intrinsic network design principle(s), reflected by these measurements, are different among species in the three domains of life. Results Three groups of topological properties were used in this study: network indices, degree distribution measures and motif profile measure. All of which are higher-level topological properties except for the marginal degree distribution. Metabolic networks in Archaeal species are found to be different from those in S. cerevisiae and the six Bacterial species in almost all measured higher-level topological properties. Our findings also indicate that the metabolic network in Archaeal species is similar to the exponential random network. Conclusion If these metabolic network properties of the organisms studied can be extended to other species in their respective domains (which is likely), then the design principle(s) of Archaea are fundamentally different from those of Bacteria and Eukaryote. Furthermore, the functional mechanisms of Archaeal metabolic networks revealed in this study differentiate significantly from those of Bacterial and Eukaryotic organisms, which warrant further investigation.
dc.titleStructural comparison of metabolic networks in selected single cell organisms
dc.typeArticleen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/112784/1/12859_2004_Article_333.pdf
dc.identifier.doi10.1186/1471-2105-6-8en_US
dc.language.rfc3066en
dc.rights.holderZhu and Qin.
dc.date.updated2015-08-07T17:43:48Z
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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