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      <dc:title>When metabolism meets topology: Reconciling metabolite and reaction networks.</dc:title>
      <dc:creator>Montañez, Raúl</dc:creator>
      <dc:creator>Medina-Torres, Miguel Ángel</dc:creator>
      <dc:creator>Solé, Ricard V.</dc:creator>
      <dc:creator>Rodríguez-Caso, Carlos Francisco</dc:creator>
      <dc:subject>Bioinformática</dc:subject>
      <dc:subject>Metabolismo - Simulación por ordenador</dc:subject>
      <dc:description>Política de acceso abierto tomada de: https://v2.sherpa.ac.uk/id/publication/14547</dc:description>
      <dc:description>The search for a systems-level picture of metabolism as a web of molecular interactions provides a paradigmatic example of how the methods used to characterize a system can bias the interpretation of its functional meaning. Metabolic maps have been analyzed using novel techniques from network theory, revealing some non-trivial, functionally relevant properties. These include a small-world structure and hierarchical modularity. However, as discussed here, some of these properties might actually result from an inappropriate way of defining network interactions. Starting from the so-called bipartite organization of metabolism, where the two meaningful subsets (reactions and metabolites) are considered, most current works use only one of the subsets by means of so-called graph projections. Unfortunately, projected graphs often ignore relevant biological and chemical constraints, thus leading to statistical artifacts. Some of these drawbacks and alternative approaches need to be properly addressed.</dc:description>
      <dc:date>2024-07-24T11:29:37Z</dc:date>
      <dc:date>2024-07-24T11:29:37Z</dc:date>
      <dc:date>2010</dc:date>
      <dc:type>journal article</dc:type>
      <dc:identifier>https://hdl.handle.net/10630/32290</dc:identifier>
      <dc:identifier>10.1002/bies.200900145</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:rights>open access</dc:rights>
      <dc:publisher>Wiley</dc:publisher>
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