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      <subfield code="a">Montañez, Raúl</subfield>
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      <subfield code="a">Medina-Torres, Miguel Ángel</subfield>
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      <subfield code="a">Solé, Ricard V.</subfield>
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      <subfield code="a">Rodríguez-Caso, Carlos Francisco</subfield>
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      <subfield code="c">2010</subfield>
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      <subfield code="a">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.</subfield>
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      <subfield code="a">https://hdl.handle.net/10630/32290</subfield>
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      <subfield code="a">Bioinformática</subfield>
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      <subfield code="a">Metabolismo - Simulación por ordenador</subfield>
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      <subfield code="a">When metabolism meets topology: Reconciling metabolite and reaction networks.</subfield>
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