page_title: Metabolic network modelling
hierarchical_section_title: Metabolic network modelling
caption_attribution_description: English: Metabolic network showing the links between enzymes and metabolites that interact with the Arabidopsis TCA cycle KEGG classification M00009. Enzymes and metabolites are the nodes (red), interactions are the lines. In total, 43 enzymes and 40 metabolites are shown. Created on Cytoscape using data from VirtualPlant 0.9. Español: Redes metabólicas muestran las conexiones entre enzimas y metabolitos que interactúan con el ciclo del TCA. Las enzimas y los metabolitos son los nódulos (rojo), y las líneas son las interacciones. En total, 43 enzimas y 40 metabolitos son mostrados. Polski: Sieć metaboliczna cyklu Krebsa Arabidopsis thaliana. Enzymy i metabolity są przedstawione w postaci czerwonych kwadratów, a interakcje między nimi – za pomocą czarnych linii. Sieć ilustruje interakcje pomiędzy 43 białkami i 40 metabolitami, podczas gdy w sekwencji genomu wyróżnić można nawet do 45000 genów.
context_page_description: Metabolic network reconstruction and simulation allows for an in-depth insight into the molecular mechanisms of a particular organism. In particular, these models correlate the genome with molecular physiology. A reconstruction breaks down metabolic pathways into their respective reactions and enzymes, and analyzes them within the perspective of the entire network. In simplified terms, a reconstruction collects all of the relevant metabolic information of an organism and compiles it in a mathematical model. Validation and analysis of reconstructions can allow identification of key features of metabolism such as growth yield, resource distribution, network robustness, and gene essentiality. This knowledge can then be applied to create novel biotechnology.
  In general, the process to build a reconstruction is as follows:
  Draft a reconstruction
  Refine the model
  Convert model into a mathematical/computational representation
  Evaluate and debug model through experimentation
context_section_description: Metabolic network reconstruction and simulation allows for an in-depth insight into the molecular mechanisms of a particular organism. In particular, these models correlate the genome with molecular physiology. A reconstruction breaks down metabolic pathways (such as glycolysis and the citric acid cycle) into their respective reactions and enzymes, and analyzes them within the perspective of the entire network. In simplified terms, a reconstruction collects all of the relevant metabolic information of an organism and compiles it in a mathematical model.  Validation and analysis of reconstructions can allow identification of key features of metabolism such as growth yield, resource distribution, network robustness, and gene essentiality. This knowledge can then be applied to create novel biotechnology.
  In general, the process to build a reconstruction is as follows:
  Draft a reconstruction
  Refine the model
  Convert model into a mathematical/computational representation
  Evaluate and debug model through experimentation
caption: Metabolic network showing interactions between enzymes and metabolites in the Arabidopsis thaliana citric acid cycle. Enzymes and metabolites are the red dots and interactions between them are the lines.
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