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Discovery and analysis of biochemical subnetwork hierarchies
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3 Discovery and analysis of
biochemical subnetwork hierarchies
Petter Holme
Department of Physics, Ume? University
901 87 Ume?, Sweden
Mikael Huss
SANS, NADA, Royal Institute of Technology
100 44 Stockholm, Sweden
Abstract
The representation of a biochemical network as a graph is the coarsest
level of description in cellular biochemistry. By studying the network
structure one can draw conclusions on the large scale organisation
of the biochemical processes. We describe methods how one can
extract hierarchies of subnetworks, how these can be interpreted and
further deconstructed to find autonomous subnetworks. The large-
scale organisation we find is characterised by a tightly connected
core surrounded by increasingly loosely connected substrates.
1 Introduction
At the coarsest level of description, cellular biochemistry can be repre-
sented as a network of vertices (substrates) linked by chemical reactions.
For both conceptual and analytical purposes, the vastness and complexity
of these biochemical networks calls for a division into smaller subunits.
This is nothing new—traditionally biochemists have talked about func-
tional subnetworks, the citric acid cycle being one example, comprised of
biochemical pathways. As modern day genomics gives an increasingly
2 Holme Huss Biochemical subnetwork hierarchies
comprehensive picture of the biochemical network one would like to com-
plement the traditional way of mapping out subnetworks by objective
graph theoretical methods. By such methods we can address not only the
question what relevant subnetworks there are, but also the hierarchical or-
ganisation of subnetworks (can subnetworks be said to consist of smaller
subnetworks, and so on), and also more fundamental questions about in
what context the subnetwork concept is relevant andwhen the biochemical
circuitry is to be considered as a functional whole.
The graph-theoretical signature
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