The multi-compartmental metabolic network of Arabidopsis thaliana was reconstructed and optimized in order to explain growth stoichiometry of the plant both in light and in dark conditions. Balances and turnover of energy (ATP/ADP) and redox (NAD(P)H/NAD(P)) metabolites as well as proton in different compartments were estimated. The model showed that in light conditions, the plastid ATP balance depended on the relationship between fluxes through photorespiration and photosynthesis including both
Contributor: Maksim Zakhartsev
Biological problem addressed: Metabolic Network
Snapshots: No snapshots
Investigation: Metabolic analysis of effects of sucrose transl...
Organisms: Arabidopsis thaliana
SOPs: No SOPs
Data files: ZucAt: FBA constraints for dark conditions, ZucAt: FBA constraints for light conditions, ZucAt: FBA solution of the model under dark gro..., ZucAt: FBA solution of the model under light gr..., ZucAt: FBA solution of the model under light gr..., ZucAt: FBA solution of the model under light gr..., ZucAt: FBA solution of the model under light gr..., ZucAt: FBA solution of the model under light gr..., ZucAt: The compound database, ZucAt: The gene database, ZucAt: The stoichiometric matrix of the model, ZucAt: The transformers database, ZucAt: the model documentation
Framework Model for Arabidopsis vegetative growth, version 2 (FMv2), as described in Chew et al. bioRxiv 2017 (https://doi.org/10.1101/105437; please see linked Article file).
The FMv2 model record on FAIRDOMHub has the following versions, which represent the same FMv2 model:
Version 1 is an archive of the github repository of MATLAB code for the Framework Model v2, downloaded from https://github.com/danielseaton/frameworkmodel on 06/02/17. This version was not licensed for further use and was
Contributor: Daniel Seaton
Model type: Not specified
Model format: Matlab package
Organism: Arabidopsis thaliana
Investigations: Prediction and analysis of phenotypes in Arabid...
Studies: 1 hidden item
Modelling analyses: 1 hidden item
Date Published: No date defined
Journal: Not specified
Citation: Linking circadian time to growth rate quantitatively via carbon metabolism