Difference between revisions of "Flux Balance Constraint (analysis)"

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Revision as of 11:14, 31 May 2013

Analysis title
DAE-models-Flux-Balance-Constraint-icon.png Flux Balance Constraint
Provider
Institute of Systems Biology
Class
FbcAnalysis
Plugin
biouml.plugins.fbc (Flux Balance)

Flux balance Analysis

Flux balance analysis is a mathematical approach for analyzing the flow of metabolites through a metabolic network.

Metabolic reactions are represented as a stoichiometric matrix S. The flux through all of the reactions in a network is represented by the vector v. Flux Balance Analysis seeks to maximize or minimize an objective function Z = cTv, which can be any linear combination of fluxes, where c is a vector of weights, indicating how much each reaction contributes to the objective function. FBA can thus be defined as the use of linear programming to solve the equation Sv = 0 given a set of upper and lower bounds on v and a linear combination of fluxes as an objective function.

Parameters:

  • Diagram path – Path to input diagram
  • Data Table Path – Path to FBC data table
  • Result path – Path to resulting element
  • Type Objective Function (expert) – TypeObjectiveFunction

Example

FBC syntax example: a simple four reaction pathway. The reactions are R1, R2, X1, X2 with fixed species IN, OUT, ATP, NADH and variable species A, B.

DAE-models-Flux-Balance-Constraint-fbc 1.png

Using the reagent identity and stoichiometry it is possible to compactly describe this network in terms of its reaction stoichiometry:

DAE-models-Flux-Balance-Constraint-fbc 2.png
DAE-models-Flux-Balance-Constraint-fbc 3.png

There are capacity constraints in this example:

DAE-models-Flux-Balance-Constraint-fbc 4.png

In this example the flux through reaction R2 will be maximized. Solving this we find that maximization of flux through R2 gives an optimal solution R2 = 1 with one possible solution for v.

DAE-models-Flux-Balance-Constraint-fbc 5.png
  1. Jeffrey D. Orth, Ines Thiele and Bernhard O. Palsson, "What is flux balance analysis?". Nature Biotechnology 28, 245–248 2010.
  2. SBML Level 3 Package Specification
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