Afternoon Session, 3 September (11th MGED Meeting, 1-4 September, 2008)
A metabolic network is enzyme centered, small world, scale free. He describes the sort of x you expect when you know that a gene is, for instance, up-regulated. They would like to get "may we infer that a gene is up-regulated (or the probability that it is) measuring x. He used Nostoc punctiforme, a cyanobacterium able to fix nitrogen, a specialized 'heterocyst'. Would like his metabolic network to integrate proteomic and transcriptomic data. However, tthese two types correlate poorly. However, there is correlation in the metabolic pathways (missed part of this slide).
This work is meant to ease the id of pathwyas, and to embody some of the underlying biology in the model. MMG identifies potential targets, and is available as an R package.
These are just my notes and are not guaranteed to be correct.
Please feel free to let me know about any errors, which are all my
fault and not the fault of the speaker. 🙂