Models
Navigation
Below is displayed the model view of the selected project. Model view is shown in the form of the model overview page for the currently selected model. The central feature of the model view is the model scheme that shows individual model components of selected model. The navigation panel on the left allows you to browse the biological structure of the model. Manipulation with the navigation panel is realized by unfolding the items in the navigation tree and clicking on a requested system level.
Annotations Tab
All the annotation terms relevant for the currently focused level of the project are displayed on the Annotation Tab below the scheme. Individual annotation data can be unfolded by clicking on the requested annotation item header.
Components Tab
The Components Tab displays all the model species (state variables). More information for particular components are accessible after clicking on the requested component header.
Reactions Tab
Reactions Tab contains information regarding the modeled reactions. After clicking on the particular reaction header, the reacting components and relevant kinetic parameters are displayed.
Parameters Tab
All quantitative parameters are managed under Parameters Tab. Constants are separated from assigned quantities.
Simulation Tab
Simulation and SBML export are available by clicking on appropriate buttons at the bottom of the tab. All relevant settings of initial conditions, parameters, options and datasets are listed in respective folders.
Analysis Tab
Conservation analysis, modes analysis and matrix analysis are available by clicking on appropriate buttons.
Experiments Tab
Experiments tab contains list of all experiments related to selected model.
Clark et al. 2014 (in progress)
Ryan L. Clark et al., Insights into the industrial growth of cyanobacteria from a model of the carbon-concentrating mechanism, AIChE Journal, 2014
The direct production of fuels and chemicals from CO2 using genetically engineered photosynthetic cyanobacteria would bypass much of the land, water, and transportation problems associated with biomass cultivation for traditional fermentation or catalytic conversion. However, current productivity of chemicals by these engineered cyanobacteria is too low to be economically feasible. The most troublesome bottleneck in cyanobacterial photosynthesis is the uptake of CO2, the building block from which molecules of interest are synthesized. Therefore, a profitable and controllable industrial process for the production of small molecules by cyanobacteria must be assisted by the development of a platform organism capable of metabolizing a higher flux of CO2 and able to efficiently convert that flux into desired chemicals. Modeling of cyanobacterial growth on both an intracellular and macroscopic level can be used to understand the mechanisms of CO2-fixation and their implications in a large scale process.
The cyanobacterial carbon dioxide concentrating mechanism (CCM) comprises a system of structural proteins and enzymes that enable cyanobacteria to increase the local concentration of CO2 around the carbon-fixing enzyme ribulose-1,5-bisphosphate carboxylase/oxygenase (RuBisCO) by up to three orders of magnitude. This mechanism allows cyanobacterial growth in their native aqueous environment with low concentrations of CO2. A quantitative model of this mechanism is described in this work and shows that the CCM is unnecessary for growth in media in equilibrium with a gas phase of 10% CO2, a concentration readily available in abundant industrial flue gas. Because the proteins involved in the CCM are large, and therefore costly to synthesize, elimination of their production in a high-CO2 environment could provide a significant metabolic benefit to cyanobacteria. Integrating these results with a macroscopic growth model will improve understanding of cyanobacterial growth on an industrial scale.
model: Clark et al. 2014
Ryan L. Clark et al., Insights into the industrial growth of cyanobacteria from a model of the carbon-concentrating mechanism, AIChE Journal, 2014
publication: Clark et al. 2014
Function: CO2 Fixation function (irreversible)
Reaction rate: (v2*CO2_carb)/(CO2_carb+K4*(1+O2_carb/K5))
Kinetic rate constant | Value |
---|---|
O2_carb | 4*10^-4 |
v2 | k7*Nsites/Vcarb |
K4 | 1.9*10^-4 |
K5 | 1.3*10^-3 |
Function: Four constants (irreversible)
Reaction rate: factorCo2dehyd*fast*k2*OH_carb*CO2_carb
Kinetic rate constant | Value |
---|---|
OH_carb | "kW"/10^(-"pH_carb") |
fast | 100 |
k2 | 12100+1156*(Temperature-25) |
factorCo2dehyd | 1 |
Function: light-dependend Mass Action (irreversible)
Reaction rate: k2*CO2_cyt*OH_cyt
Kinetic rate constant | Value |
---|---|
OH_cyt | "kW"/10^(-"pH_cyt") |
k2 | 12100+1156*(Temperature-25) |
Function: CO2transport in function (irreversible)
Reaction rate: fast*(CO2_ext-CO2_cyt)
Kinetic rate constant | Value |
---|---|
CO2_ext | "kH"*"PCO2" |
fast | 100 |
Function: Three constants (irreversible)
Reaction rate: factorHCO3dehyd*fast*k3*HCO3_carb
Kinetic rate constant | Value |
---|---|
fast | 100 |
k3 | 0.00006+0.00006*(Temperature-25) |
factorHCO3dehyd | 1 |
Function: Mass Action (irreversible)
Reaction rate: k3*HCO3_cyt
Kinetic rate constant | Value |
---|---|
k3 | 0.00006+0.00006*(Temperature-25) |
Function: Henri-Michaelis-Menten in volume (irreversible)
Reaction rate: ((v1*HCO3_ext)/(K1 + HCO3_ext))/Vcell
Kinetic rate constant | Value |
---|---|
HCO3_ext | ("k2"/"k3")*"CO2_ext"*"OH_ext" |
HCO3_ext | ("k2"/"k3")*"CO2_ext"*"OH_ext" |
K1 | 2.2*10^-4 |
v1 | 2e-18 |
Vcell | 5.2*10^-16 |
Function: Mass Action (reversible)
Reaction rate: fast*HCO3_cyt-fast*HCO3_carb
Kinetic rate constant | Value |
---|---|
fast | 100 |
fast | 100 |
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Assigned quantities
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M. Trojak, D. Safranek, J. Hrabec, J. Salagovic, F. Romanovska, J. Cerveny: E-Cyanobacterium.org: A Web-Based Platform for Systems Biology of Cyanobacteria. In: Computational Methods in Systems Biology, CMSB 2016, Vol. 9859 of LNCS, pp. 316-322. Springer, 2016. DOI