POSSIBILISTIC METABOLIC FLUX ANALYSIS

In a recent paper we introduce a possibilistic framework to perform metabolic flux estimations using a constraint-based model and a set of measurements, which has the following features:
  • Able to handle inconsistencies (sensors errors and model imprecision) to provide reliable estimations
  • Richer estimates (not only point-wise, but histograms and intervals)
  • Cast as linear programming problems, able to handle thousands of variables with efficiency
  • Exploits the available data – even if those are scarce – to grade the possibility of all the flux states
In summary, we introduce a possibilistic framework for the estimation of metabolic fluxes, which is flexible, reliable, usable in scenarios lacking data and computationally efficient.

Imagen 2

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SOFTWARE

You can download a simple example (matlab file) with the paper. A more complete software package is under development and will be available in the future.


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REFERENCES

[1] A possibilistic framework for constraint-based metabolic flux analysis, Francisco Llaneras, Antonio Sala and Jesús Picó BMC Systems Biology, 2009, 3:73 [article - free access]