ECM_ENZYME_COST_MINIMIZATION - Compute optimal flux-specific enzyme costs for given flux distribution [c, u, u_cost, up, A_forward, mca_info, c_min, c_max, u_min, u_max, r, u_capacity, eta_energetic, eta_saturation] = ecm_enzyme_cost_minimization(network, e, v, ecm_options) Input network metabolic network structure (as in Metabolic Network Toolbox) r Kinetic constants (from parameter balancing) v flux mode ecm_options options struct (for fields and default values, see 'ecm_default_options') Output c metabolite concentrations c.data data vector (if provided) c.fixed fixed concentration vector c.initial initial solution vector c.[SCORE] 1st column: result from optimising the score [SCORE] other columns: possible sampled solutions u enzyme levels (all enzymes) u.data data vector u.[SCORE] 1st column: result from optimising the score [SCORE] other columns: possible sampled solutions up enzyme levels (only scored enzymes as defined by ecm_scores.ind_scored_enzymes) up.[SCORE] 1st column: result from optimising the score [SCORE] other columns: possible sampled solutions u_cost sum of scored enzyme levels u_cost.data data value u_cost.[SCORE] 1st column: result from optimising the score [SCORE] other columns: possible sampled solutions A_forward reaction affinity (in flux direction) A_forward.initial initial solution vector A_forward.[SCORE] 1st column: result from optimising the score [SCORE] other columns: possible sampled solutions