A previously developed kinetic metabolic model for plant metabolism was used in a context of identification and control of intracellular phosphate (Pi) dynamics.
Integrative dynamic model framework has recently been proposed through incorporation of kinetic model and stoichiometric metabolic model for the prediction of dynamic whole-cell metabolism as the culture environment dynamically changes with time.
To assess the impact of transcriptional regulation affecting metabolism, we integrated the TRN model with a genome-scale metabolic model for C. reinhardtii [ 47].
In this report, we have developed a genome-scale metabolic model for G. metallireducens to accelerate discovery and gain insight into its metabolism.
The RAVEN toolbox and its use for generating a genome-scale metabolic model for Penicillium chrysogenum.
Agren, R. et al. The RAVEN toolbox and its use for generating a genome-scale metabolic model for Penicillium chrysogenum.
Agren, R. et al. The raven toolbox and its use for generating a genome-scale metabolic model for penicillium chrysogenum.
At the same time, our work leverages on a metabolic model for ccRCC and cultured ccRCC cell lines to assess vulnerabilities for this disease.
To our knowledge, we present the first plant metabolic model, for which charge balancing is ensured on genome scale, while this was previously only achieved for small subsystems22 or core metabolism40,41.
The first genome-scale metabolic model for L. casei, composed of 846 genes, 969 metabolic reactions, and 785 metabolites, was reconstructed using both manual genome annotation and an automatic SEED model.
By following a systematic workflow we reconstruct a genome-scale metabolic model for M. acetivorans.
