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Generation and evaluation of a genome-scale metabolic network model of synechococcus elongatus PCC7942

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Generation and evaluation of a genome-scale metabolic network model of synechococcus elongatus PCC7942

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Título Generation and evaluation of a genome-scale metabolic network model of synechococcus elongatus PCC7942
Autor Triana Dopico, Julián
Montagud Aquino, Arnau
Siurana Paula, Maria
Fuente Herráiz, David
Urchueguía Fornes, Arantxa
Gamermann, Daniel
Torres Gavila, Francisco Javier
Tena Medialdea, José
Fernández de Córdoba Castellá, Pedro José
Urchueguía Schölzel, Javier Fermín
Abstract The reconstruction of genome-scale metabolic models and their applications represent a great advantage of systems biology. Through their use as metabolic flux simulation models, production of industrially-interesting metabolites can be predicted. Due to the growing number of studies of metabolic models driven by the increasing genomic sequencing projects, it is important to conceptualize steps of reconstruction and analysis. We have focused our work in the cyanobacterium Synechococcus elongatus PCC7942, for which several analyses and insights are unveiled. A comprehensive approach has been used, which can be of interest to lead the process of manual curation and genome-scale metabolic analysis. The final model, iSyf715 includes 851 reactions and 838 metabolites. A biomass equation, which encompasses elementary building blocks to allow cell growth, is also included. The applicability of the model is finally demonstrated by simulating autotrophic growth conditions of Synechococcus elongatus PCC7942.
Contido em Metabolites. Basel. Vol. 4, no. 3 (sept. 2014), p. 680-698
Assunto Genoma
Redes
Sistemas biologicos
[en] Biological databases
[en] Flux balance analysis
[en] Genome-scale metabolic network reconstruction
[en] Metabolic pathways
[en] Systems biology
Origem Estrangeiro
Tipo Artigo de periódico
URI http://hdl.handle.net/10183/106734
Arquivos Descrição Formato
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