Models

Copasi file chronic inflammation Abulikemu et al 2020 (altered units TNF and MMP8); see supplemntal material: TNF and MMP7 concentration upgrade of the models All computations for the present paper were completed by using the model prepared and tested in Abulikemu et al 2018. Then, little attention was paid to the unit in which concentrations were expressed, except for the concentration of fibroblasts, which we found important for modelling the effect of confluency. This led to a predicted TNF ...

Copasi file chronic inflammation Abulikemu et al 2020 (altered units TNF and MMP8); see supplemntal material: TNF and MMP7 concentration upgrade of the models All computations for the present paper were completed by using the model prepared and tested in Abulikemu et al 2018. Then, little attention was paid to the unit in which concentrations were expressed, except for the concentration of fibroblasts, which we found important for modelling the effect of confluency. This led to a predicted TNF ...

This is a model about a ROS network that exhibits five design principles, and has been calibrated so as to predict quantitatively various steady state concentrations. 10191125.

Instructions RUN the model for steady state. For the Menadione experiment set the initial concentration of 'Menadione' species to experimental dosing i.e. 100 000 nM (0.1 mM) and make the simulation type "reaction" for both the species i.e. 'Menadione' and 'Menadione_internal'. Then run for 24 hr i.e. 1500 minutes approx. ...

Model that can be used to obtain the figures of Abudulikemu et al 2018: Abudukelimu, A., Barberis, M., Redegeld, F.A., Sahin, N., and Westerhoff, H.V. (2018). Predictable Irreversible Switching Between Acute and Chronic Inflammation. Front Immunol 9, 1596.

(Abudulikemu et al 2000 (also 2018) Standard model of acute mode Figure 32.

Particularly figure 2 of of Abudulikemu et al 2020 in press

BPG stability notebook

PGK model for S. solfataricus

Here is a kinetic model (in COPASI format) of L. lactis glycolysis.

PGK-GAPDH model Sulfolobus kouril8

PGK-GAPDH model yeast kouril7

PGK-GAPDH models yeast and Sulfolobus Fig. 4 in manuscript

PGK 70C SBML

PGK yeast Fig1a

PGK yeast with/without recycling

SBML description of L. lactis glycolysis. Same as the uploaded Copasi file

Preliminary metabolic network of S. pyogenes including primary metabolism, polysaccharide metabolism, purine and pyrimidine biosoynthesis, teichoic acid biosynthesis, fatty acid and phospholipid bioynthesis, amino acid metabolism, vitamins and cofactors. The model still needs to be validated.

Batch and chemostat model of L lactis. Scope of the model is to provide a mechanistic explanation of the switch between mixed acid and homolactic fermentation.

The principles of Stealthy Engineering (Adamczyk et al.: Biotechnology Journal 2012; 7(7):877-83) are illustrated in this model by emulating a cross engineering intervention between L. lactis and S. cerevisiae.

The case study consists of replacing the native glucose uptake system of L. lactis with that native to the yeast S. cerevisiae. A modified version of Hoefnagel et al.’s model of L. lacrtis’ central metabolism was used as starting point. The total functional replacement of the PTS with the ...

A reconstruction of the cellular metabolism of the opportunistic human pathogen Enterococcus faecalis V583 represented as stoichiometric model and analysed using constraint-based modelling approaches

Mechanistical model of the catalytic cycle of Trypanothione Synthetase

An ODE model of the gene regulation network governing sporulation initiation in Bacillus subtilis to be run in Matlab.

The network incorporates four sporulation-related signals: nutrient supply, DNA damage, the products of the competence genes and the bacterial population size.

Run execute_bacillus_sporulation_initiation.m to simulate the model. This file also contains the signal-related parameters which can be altered to investigate the effect of competing signals.

Some results for this model ...

Here, we use hyperbolic tangents to fit experimental data of AB fermentation in C. acetobutylicum in continous culture at steady state for different external pHs. The estimated parameters are used to define acidogenic and solventogenic phase. Furthermore, an transition phase is identified which cannot be assigned to acidogenesis or solventogenesis.

Several plots compare the fits to the experimental data.

This function estimates the parameters of growth functions of the acid-forming and solvent-forming population observed in 'forward'-shift experiments of phosphate-limited continuous cultures of C. acetobutylicum. The parameters are used in the 'Two-Populations'-Model of the pH-induced metabolic shift.

It assumed that the found behaviour of the optical density during these experiments results from a phenotypic switch caused by the changing pH level.