relaxedFBA

relaxFBA_cappedL1(model, param)[source]

Finds the mimimal set of relaxations on bounds and steady state constraints to make the FBA problem feasible. The zero-norm is appproximated by capped-L1 norm

Usage

[solution] = relaxFBA_cappedL1(model, param)

Inputs

  • model – COBRA model structure
  • param – Structure containing the relaxation options:
    • excludedReactions - bool vector of size n indicating the reactions to be excluded from relaxation * excludedReactions(i) = false : allow to relax bounds on reaction i * excludedReactions(i) = true : do not allow to relax bounds on reaction i
    • excludedReactionLB - n x 1 bool vector indicating the reactions with lower bounds to be excluded from relaxation
      • excludedReactionLB(i) = false : allow to relax lower bounds on reaction i (default)
      • excludedReactionLB(i) = true : do not allow to relax lower bounds on reaction i
    • excludedReactionUB - n x 1 bool vector indicating the reactions with upper bounds to be excluded from relaxation
      • excludedReactionUB(i) = false : allow to relax upper bounds on reaction i (default)
      • excludedReactionUB(i) = true : do not allow to relax upper bounds on reaction i
    • excludedMetabolites - bool vector of size m indicating the metabolites to be excluded from relaxation * excludedMetabolites(i) = false : allow to relax steady state constraint on metabolite i * excludedMetabolites(i) = true : do not allow to relax steady state constraint on metabolite i
    • gamma - weight on zero norm of fluxes
    • lamda - weight on relaxation on steady state constraint (overridden by excludedMetabolites)
    • alpha - weight on relaxation on bounds (overridden by excludedReactions)

Output

  • solution – Structure containing the following fields:
    • stat - status
      • 1 = Solution found
      • 0 = Infeasible
      • -1 = Invalid input
    • r - relaxation on steady state constraints \(S*v = b\)
    • p - relaxation on lower bound of reactions
    • q - relaxation on upper bound of reactions
    • v - reaction rate
\[\begin{split}min ~&~ c^T v + \gamma_1 ||v||_1 + \gamma_0 ||v||_0 + \lambda_1 ||r||_1 + \lambda_0 ||r||_0 \\ ~&~ + \alpha_1 (||p||_1 + ||q||_1) + \alpha_0 (||p||_0 + ||q||_0) \\ s.t. ~&~ S v + r = b \\ ~&~ l - p \leq v \leq u + q \\ ~&~ r \in R^m \\ ~&~ p,q \in R_+^n\end{split}\]

m - number of metabolites, n - number of reactions

relaxedFBA(model, param)[source]

Finds the mimimal set of relaxations on bounds and steady state constraints to make the FBA problem feasible. The optional parameters, excludedReactions and excludedMetabolites override all other relaxation options.

\[\begin{split}min ~&~ c^T v + \gamma ||v||_0 + \lambda ||r||_0 + \alpha (||p||_0 + ||q||_0) \\ s.t ~&~ S v + r \leq, =, \geq b \\ ~&~ l - p \leq v \leq u + q \\ ~&~ r \in R^nMets \\ ~&~ p,q \in R_+^nRxns\end{split}\]

nMets - number of metabolites, nRxns - number of reactions

Usage

[solution] = relaxedFBA(model, param)

Inputs

  • model – COBRA model structure
  • model.S
  • model.SIntRxnBool

Optional inputs

  • model – COBRA model structure

  • model.SIntRxnBool

  • param – Structure optionally containing the relaxation parameters:

    • internalRelax:
      • 0 = do not allow to relax bounds on internal reactions
      • 1 = do not allow to relax bounds on internal reactions with finite bounds
      • {2} = allow to relax bounds on all internal reactions
    • exchangeRelax:
      • 0 = do not allow to relax bounds on exchange reactions
      • 1 = do not allow to relax bounds on exchange reactions of the type [0,0]
      • {2} = allow to relax bounds on all exchange reactions
    • steadyStateRelax:
      • 0 = do not allow to relax the steady state constraint S*v = b
      • {1} = allow to relax the steady state constraint S*v = b
    • toBeUnblockedReactions - nRxns x 1 vector indicating the reactions to be unblocked
      • toBeUnblockedReactions(i) = 1 : impose v(i) to be positive
      • toBeUnblockedReactions(i) = -1 : impose v(i) to be negative
      • toBeUnblockedReactions(i) = 0 : do not add any constraint (default)
    • excludedReactions - nRxns x 1 bool vector indicating the reactions to be excluded from relaxation
      • excludedReactions(i) = false : allow to relax bounds on reaction i (default)
      • excludedReactions(i) = true : do not allow to relax bounds on reaction i
    • excludedReactionLB - nRxns x 1 bool vector indicating

    the reactions with lower bounds to be excluded from relaxation (overridden by excludedReactions)

    • excludedReactionLB(i) = false : allow to relax lower bounds on reaction i (default)
    • excludedReactionLB(i) = true : do not allow to relax lower bounds on reaction i
    • excludedReactionUB - nRxns x 1 bool vector indicating

    the reactions with upper bounds to be excluded from relaxation (overridden by excludedReactions)

    • excludedReactionUB(i) = false : allow to relax upper bounds on reaction i (default)
    • excludedReactionUB(i) = true : do not allow to relax upper bounds on reaction i
    • excludedMetabolites - nMets x 1 bool vector indicating the metabolites to be excluded from relaxation
      • excludedMetabolites(i) = false : allow to relax steady state constraint on metabolite i (default)
      • excludedMetabolites(i) = true : do not allow to relax steady state constraint on metabolite i
    • lamda - weighting on relaxation of relaxation on steady state constraints S*v = b
    • alpha - weighting on relaxation of reaction bounds
    • gamma - weighting on zero norm of fluxes
    • .nbMaxIteration - stopping criteria - number maximal of iteration (Default value = 100)
    • .epsilon - stopping criteria - (Default value = 1e-6)
    • .theta0 - initial parameter of the approximation (Default value = 0.5)
      Theoretically, the greater the value of step parameter, the better the approximation of a step function. However, practically, a greater inital value, will tend to optimise toward a local minima of the approximate cardinality optimisation problem.
    • .printLevel (Default = 0) Printing the progress of

    the algorithm is useful when trying different values of theta0 to start with the appropriate parameter giving the lowest cardinality solution.

Output

  • solution – Structure containing the following fields:
    • stat - status
      • 1 = Solution found
      • 0 = Infeasible
      • -1 = Invalid input
    • r - relaxation on steady state constraints S*v = b
    • p - relaxation on lower bound of reactions
    • q - relaxation on upper bound of reactions
    • v - reaction rate

relaxedModel model structure that admits a flux balance solution