Contains relative mutant (OE, KO) perturbation and time series samples metabolite concentrations and enzyme fold change of targeted enzymes used for model validation. Measured are the relative fold change, Mean and SD of log2 fold change values are based on multiple measurements per sample (minimum of three). Contains input data for Automated Model simulations pipeline to load and update the models metabolite concentrations and enzyme parameters to simulate all sample using a custom python script ...
Dynamic model of glycolysis, pyruvate metabolism and NoxE. The model is parameterized by selecting the best out of 100 parameter set using Copasi's Genetic algorithm with 1000 itterations and 500 simmulatanious models.
Creator: Niels Zondervan
Submitter: Niels Zondervan
Model type: Ordinary differential equations (ODE)
Model format: SBML
Environment: Not specified
Organism: Mycoplasma pneumoniae
Investigations: Modelling of M. pneumoniae metabolism
Assays: 40 samples, OE mutants of glycolysis and pyruva..., Construction and training of the core model, Dynamic model simmulation pipeline, Metabolic control analysis (local and global), Validation by simulating independent mutant and...
Authors: Alexey Kolodkin, Raju Prasad Sharma, Anna Maria Colangelo, Andrew Ignatenko, Francesca Martorana, Danyel Jennen, Jacco J. Briede, Nathan Brady, Matteo Barberis, Thierry D.G.A. Mondeel, Michele Papa, Vikas Kumar, Bernhard Peters, Alexander Skupin, Lilia Alberghina, Rudi Balling, Hans V. Westerhoff
Date Published: No date defined
Publication Type: Not specified
Citation: Design principles of ROS dynamic networks relevant to precision therapies for age-related diseases 74 : 324