generation and evaluation of a genome-scale metabolic network model of synechococcus elongatus pcc7942

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ID: 235787
2014
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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.
Reference Key
triana2014metabolitesgeneration Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Julián Triana;Arnau Montagud;Maria Siurana;David Fuente;Arantxa Urchueguía;Daniel Gamermann;Javier Torres;Jose Tena;Pedro Fernández de Córdoba;Javier F. Urchueguía
Journal immunotargets and therapy
Year 2014
DOI
10.3390/metabo4030680
URL
http://www.mdpi.com/2218-1989/4/3/680
Keywords
systems biology flux balance analysis metabolic pathways biological databasesmicrobiology

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