Run FBA

This is the core component that runs Flux Balance Analysis simulation for the model. There are three FBA algorithms available via COBRApy:
- plain FBA, which maximize flux throug the reactions in objective;
- geometric FBA, which find unique flux set that is central to the range of possible fluxes (see also (K Smallbone, E Simeonidis, 2009, DOI:10.1016/j.jtbi.2009.01.027);
- parsimonious FBA, which maximize objective function but keep the total sum of fluxes at minimum (see also (Lewis et al. 2010, DOI:10.1038/msb.2010.47).

By default plain FBA is selected. The output of the components are tables with objective function value, distribution of fluxes for reactions and shadow prices and the simulated model object.

Input ports

1. Type: Python
   model
   Cobra Model object from other FBA components

Output ports

1. Type: Table
   fluxes
   table of flux values for the solution
2. Type: Table
   objective
   value of objective function for the solution
3. Type: Table
   shadow_prices
   table of metabolite shadow prices
4. Type: Python
   model
   Cobra Model after simulation