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.
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.
MORE...
Please feel free to
contact me for anything related
with Possibilistic MFA.
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]