cameo.strain_design.heuristic package¶
Submodules¶
cameo.strain_design.heuristic.evolutionary_based module¶

class
cameo.strain_design.heuristic.evolutionary_based.
OptGene
(model, evolutionary_algorithm=<class 'inspyred.ec.ec.GA'>, manipulation_type='genes', essential_genes=None, essential_reactions=None, plot=True, exclude_non_gene_reactions=True, *args, **kwargs)[source]¶ Bases:
cameo.core.strain_design.StrainDesignMethod
Attributes
Methods

plot
¶

manipulation_type
¶

run
(target=None, biomass=None, substrate=None, max_knockouts=5, variable_size=True, simulation_method=<function fba>, growth_coupled=False, max_evaluations=20000, population_size=200, max_results=50, use_nullspace_simplification=True, seed=None, **kwargs)[source]¶ Parameters:  target (str, Metabolite or Reaction) – The design target
 biomass (str, Metabolite or Reaction) – The biomass definition in the model
 substrate (str, Metabolite or Reaction) – The main carbon source
 max_knockouts (int) – Max number of knockouts allowed
 variable_size (bool) – If true, all candidates have the same size. Otherwise the candidate size can be from 1 to max_knockouts.
 simulation_method (function) – Any method from cameo.flux_analysis.simulation or equivalent
 growth_coupled (bool) – If true will use the minimum flux rate to compute the fitness
 max_evaluations (int) – Number of evaluations before stop
 population_size (int) – Number of individuals in each generation
 max_results (int) – Max number of different designs to return if found.
 kwargs (dict) – Arguments for the simulation method.
 seed (int) – A seed for random.
 use_nullspace_simplification (Boolean (default True)) – Use a basis for the nullspace to find groups of reactions whose fluxes are multiples of each other and dead end reactions. From each of these groups only 1 reaction will be included as a possible knockout.
Returns: Return type: OptGeneResult
