Models
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Creators: Dawie van Niekerk, Jacky Snoep
Submitter: Dawie van Niekerk
Model type: Ordinary differential equations (ODE)
Model format: Mathematica
Environment: Not specified
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
Creators: Nadine Veith, Margrete Solheim, Koen van Grinsven, Jennifer Levering, Jeroen Hugenholtz, Helge Holo, Ingolf Nes, Bas Teusink, Ursula Kummer, Brett G Olivier, Ruth Grosseholz
Submitter: Nadine Veith
Model type: Linear equations
Model format: SBML
Environment: Not specified
Glycolytic model for Plasmodium falciparum; open system
Creators: Dawie van Niekerk, Jacky Snoep
Submitter: Dawie van Niekerk
Model type: Ordinary differential equations (ODE)
Model format: SBML
Environment: JWS Online
Mathematica notebook for the parameterisation of the glucose transport rate equation based on SEEK linked experimental data.
Creators: Dawie van Niekerk, Jacky Snoep
Submitter: Dawie van Niekerk
Model type: Ordinary differential equations (ODE)
Model format: Mathematica
Environment: Not specified
Glycolytic model for Plasmodium falciparum; closed system
Creators: Dawie van Niekerk, Jacky Snoep
Submitter: Dawie van Niekerk
Model type: Ordinary differential equations (ODE)
Model format: SBML
Environment: JWS Online
Mathematica notebook for the parameterisation of the G3PDH rate equation based on SEEK linked experimental data.
Creators: Dawie van Niekerk, Jacky Snoep
Submitter: Dawie van Niekerk
Model type: Ordinary differential equations (ODE)
Model format: Mathematica
Environment: Not specified
Mathematica notebook for the parameterisation of the ALD rate equation based on SEEK linked experimental data.
Creators: Dawie van Niekerk, Jacky Snoep
Submitter: Dawie van Niekerk
Model type: Ordinary differential equations (ODE)
Model format: Mathematica
Environment: Not specified
Mathematica notebook for the ATPase reaction.
Creators: Dawie van Niekerk, Jacky Snoep
Submitter: Dawie van Niekerk
Model type: Ordinary differential equations (ODE)
Model format: Mathematica
Environment: Not specified
Mathematica notebook for the parameterisation of the ENO rate equation based on SEEK linked experimental data.
Creators: Dawie van Niekerk, Jacky Snoep
Submitter: Dawie van Niekerk
Model type: Ordinary differential equations (ODE)
Model format: Mathematica
Environment: Not specified
Mathematica notebook for the lactate transport rate equation, based on literature data.
Creators: Dawie van Niekerk, Jacky Snoep
Submitter: Dawie van Niekerk
Model type: Ordinary differential equations (ODE)
Model format: Mathematica
Environment: Not specified
Mathematica notebook for the glycerol transport rate equation.
Creators: Dawie van Niekerk, Jacky Snoep
Submitter: Dawie van Niekerk
Model type: Ordinary differential equations (ODE)
Model format: Mathematica
Environment: Not specified
Mathematica notebook for the parameterisation of the GAPDH rate equation based on SEEK linked experimental data.
Creators: Dawie van Niekerk, Jacky Snoep
Submitter: Dawie van Niekerk
Model type: Ordinary differential equations (ODE)
Model format: Mathematica
Environment: Not specified
Mathematica notebook for the parameterisation of the PGI rate equation based on SEEK linked experimental data.
Creators: Dawie van Niekerk, Jacky Snoep
Submitter: Dawie van Niekerk
Model type: Ordinary differential equations (ODE)
Model format: Mathematica
Environment: Not specified
Mathematica notebook for the parameterisation of the LDH rate equation based on SEEK linked experimental data.
Creators: Dawie van Niekerk, Jacky Snoep
Submitter: Dawie van Niekerk
Model type: Ordinary differential equations (ODE)
Model format: Mathematica
Environment: Not specified
Mathematica notebook for the parameterisation of the TPI rate equation based on SEEK linked experimental data.
Creators: Dawie van Niekerk, Jacky Snoep
Submitter: Dawie van Niekerk
Model type: Ordinary differential equations (ODE)
Model format: Mathematica
Environment: Not specified
Mathematica notebook for the parameterisation of the PFK rate equation based on SEEK linked experimental data.
Creators: Dawie van Niekerk, Jacky Snoep
Submitter: Dawie van Niekerk
Model type: Ordinary differential equations (ODE)
Model format: Mathematica
Environment: Not specified
Mathematica notebook for the pyruvate transport rate equation, based on literature data.
Creators: Dawie van Niekerk, Jacky Snoep
Submitter: Dawie van Niekerk
Model type: Ordinary differential equations (ODE)
Model format: Mathematica
Environment: Not specified
Mathematica notebook for the parameterisation of the PGK rate equation based on SEEK linked experimental data.
Creators: Dawie van Niekerk, Jacky Snoep
Submitter: Dawie van Niekerk
Model type: Ordinary differential equations (ODE)
Model format: Mathematica
Environment: Not specified
Mathematica notebook for the parameterisation of the PK rate equation based on the experimental SEEK data set
Creators: Dawie van Niekerk, Jacky Snoep
Submitter: Dawie van Niekerk
Model type: Ordinary differential equations (ODE)
Model format: Mathematica
Environment: Not specified
Mathematica notebook for the parameterisation of the PGM rate equation based on SEEK linked experimental data.
Creators: Dawie van Niekerk, Jacky Snoep
Submitter: Dawie van Niekerk
Model type: Ordinary differential equations (ODE)
Model format: Mathematica
Environment: Not specified
Mathematical model for HK kinetics, GLC and ATP saturation, and inhibition with G6P and ADP.
Creators: Dawie van Niekerk, Jacky Snoep
Submitter: Dawie van Niekerk
Model type: Ordinary differential equations (ODE)
Model format: Mathematica
Environment: Not specified
Mechanistical model of the catalytic cycle of Trypanothione Synthetase
Creators: Jurgen Haanstra, Alejandro Leroux
Submitter: Jurgen Haanstra
Model type: Linear equations
Model format: Copasi
Environment: Copasi
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 ...
Creator: Sara Jabbari
Submitter: Sara Jabbari
Model type: Ordinary differential equations (ODE)
Model format: Matlab package
Environment: Not specified
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.
Creator: Thomas Millat
Submitter: Thomas Millat
Model type: Not specified
Model format: Matlab package
Environment: Matlab
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.
Creator: Thomas Millat
Submitter: Thomas Millat
Model type: Not specified
Model format: Matlab package
Environment: Matlab
3D structure prediction of LDH enzymes from four LAB by comparative modeling against x-ray structure of LDH from B. stearothermophilis (template, PDB ID: 1LDN). The computation was performed with a protocol that uses "automodel.very_fast" settings of Modeller program (http://salilab.org/modeller/).
Creator: Anna Feldman-Salit
Submitter: Anna Feldman-Salit
Model type: Not specified
Model format: Not specified
Environment: Not specified
Comparison of electrostatic potentials within the allosteric binding sites of LDH enzymes to estimate the binding affinity of the FBP molecule is performed with the PIPSA program. The program uses the structure of enzymes in the PDB format and computed electrostatic potentials in the GRD format.
Creator: Anna Feldman-Salit
Submitter: Anna Feldman-Salit
Model type: Not specified
Model format: Not specified
Environment: Not specified
Computation is performed for the modeled 3D structures of LDH enzymes (in PDB format) with the UHBD program, for pH 6 and pH 7.
Creator: Anna Feldman-Salit
Submitter: Anna Feldman-Salit
Model type: Not specified
Model format: Not specified
Environment: Not specified
Binding energies of phosphate ions to the allosteric and catalytic sites were estimated with a program GRID (http://www.moldiscovery.com/soft_grid.php). The calculations were performed for the modeled LDH structures from four LABs, at pH 6 and 7, in presence and absence of the FBP molecule. The phosphate ion was presented as a probe.
Creator: Anna Feldman-Salit
Submitter: Anna Feldman-Salit
Model type: Not specified
Model format: Not specified
Environment: Not specified
In order to estimate whether Pi has an activatory or an inhibitory effect on the enzymes, the computed probe binding energies (from GRID results, Part 4) were compared with those for the LDH from L. plantarum whose activity is known to be unaffected by Pi.
The binding energies of the Pi probe in the allosteric binding site (AS) and the COO probe in the catalytic binding site (CS) of LDH from L. plantarum were defined as E¬AS,threshold and ECS,threshold, respectively. For the other LDH enzymes, ...
Creator: Anna Feldman-Salit
Submitter: Anna Feldman-Salit
Model type: Algebraic equations
Model format: Not specified
Environment: Not specified