8.1.1.1.1.5.1.4. skimpy.analysis.oracle.flux_concentration_ratios

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8.1.1.1.1.5.1.4.1. Module Contents

8.1.1.1.1.5.1.4.1.1. Classes

BinUseVariable

BinVariable

FluxRatioCons

Class to represent thermodynamics constraints.

8.1.1.1.1.5.1.4.1.2. Functions

impose_turnover_concentation_ratios(tmodel, metabolites, tva, ratio, in_place=False, discretization=LOG, N=11)

add_ratio_constraints(model, lc, fwd, bwd, ratio, concentration_range=(MIN_C, MAX_C), discretization=LOG, N=11)

8.1.1.1.1.5.1.4.1.3. Attributes

MIN_C

MAX_C

BIGM

EPSILON

LOG

LIN

skimpy.MIN_C = 1e-10
skimpy.MAX_C = 0.1
skimpy.BIGM
skimpy.EPSILON
skimpy.LOG = log
skimpy.LIN = lin
class skimpy.BinUseVariable(model, id_, **kwargs)

Bases: pytfa.optim.variables.ModelVariable, pytfa.optim.variables.BinaryVariable

prefix = BinUseVariable_
class skimpy.BinVariable(model, id_, **kwargs)

Bases: pytfa.optim.variables.ModelVariable

prefix = BinVariable_
class skimpy.FluxRatioCons(model, expr, id_, **kwargs)

Bases: pytfa.optim.constraints.ModelConstraint

Class to represent thermodynamics constraints. G: Flux_FW + Fluw_BW > min_flux

prefix = FluxRatioCons_
skimpy.impose_turnover_concentation_ratios(tmodel, metabolites, tva, ratio, in_place=False, discretization=LOG, N=11)
skimpy.add_ratio_constraints(model, lc, fwd, bwd, ratio, concentration_range=(MIN_C, MAX_C), discretization=LOG, N=11)