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SUMMARY: Flux and context-dependent graphs for metabolic networks - Marian
 o Beguerisse\, Oxford
DTSTART:20170210T140000Z
DTEND:20170210T150000Z
UID:TALK69582@talks.cam.ac.uk
CONTACT:Rachel Furner
DESCRIPTION:Cells adapt their metabolic state in response to changes in th
 e environment.  I will present a systematic framework for the construction
  of flux graphs to represent organism-wide metabolic networks.  These grap
 hs encode the directionality of metabolic fluxes via links that represent 
 the flow of metabolites from source to target reactions.  The weights of t
 he links have a precise interpretation in terms of probabilities or metabo
 lite flow per unit time. The methodology can be applied both in the absenc
 e of a specific biological context\, or tailored to different environmenta
 l conditions by incorporating flux distributions computed from constraint-
 based modelling (e.g.\, Flux-Balance Analysis). I will illustrate the appr
 oach on the central carbon metabolism of Escherichia coli\, revealing dras
 tic changes in the topological and community structure of the metabolic gr
 aphs\, which capture the re-routing of metabolic fluxes under each growth 
 condition.\n\nBy integrating Flux Balance Analysis and tools from network 
 science\, our framework allows for the interrogation of environment-specif
 ic metabolic responses beyond fixed\, standard pathway descriptions.
LOCATION:MR5 Centre for Mathematical Sciences
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