PhD THESIS

Here you can download my PhD thesis:
(Download the PDF)

“Interval and possibilistic methods for constraint-based metabolic models”

Ph.D. Francisco Llaneras | Supervisor: Prof. Jesús Picó
The thesis is devoted to the study and application of constraint-based metabolic models. The objective was to find simple ways to handle the difficulties that arise in practice due to uncertainty (knowledge is incomplete, there is a lack of measurable variables, and those available are imprecise). With this purpose, tools have been developed to model, analyse, estimate and predict the metabolic behaviour of cells.


Imagen 1

SLIDES

These are the slides I use in my dissertation.
(download the PDF)


SOFTWARE

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A software implementing the methods described in the thesis is under development. Meanwhile, there are some examples of Poss-MFA and Flux-spectrum. And I am always glad of helping those using our methods, so feel free to contact me.


MORE...

Please contact me for anything related with the thesis contributions.


RELATED PAPERS


- Tortajada M, Llaneras F, Picó J (2010). Validation of a constraint-based model of Pichia pastoris growth under data scarcity. BMC Systems Biology, 4:11 [article]

- Llaneras F, Sala A, Picó J (2009). A possibilistic framework for constraint-based metabolic flux analysis. BMC Systems Biology, 3:73 [article]

- Llaneras F, Picó J (2010). Which metabolic pathways generate and characterise the flux space? A comparison among elementary modes, extreme pathways..., J. Biomedicine and biotechnology [article]

- Llaneras F, Picó J (2008). Stoichiometric modelling of the cell metabolism. Journal of Bioscience and Bioengineering, Jan;105(1):1-11 [article]

- Llaneras F, Picó J (2007). A procedure for the estimation over time of metabolic fluxes in scenarios where measurements are uncertain and/or insufficient. BMC Bioinformatics, 8:421 [article]

- Llaneras F, Picó J (2007). An interval approach for dealing with flux distributions and elementary modes activity patterns. Journal of Theoretical Biology, 246(2): 290-308 [article]