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Science
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Signal Transduction Networks: Topology, Response & Biochemical Processes
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Orkuns S. Soyer, Marcel Salathé and Sebastian Bonhoeffer
Journal of Theoretical Biology,
238 (2) ( 2006)
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Abstract
Conventionally, biological signal transduction networks are analysed
using experimental and theoretical methods to describe specific protein
components, interactions, and biochemical processes and to model network
behavior under various conditions. While these studies provide crucial
information on specific networks, this information is not easily converted
to a broader understanding of signal transduction systems. Here, using a
specific model of protein interaction we analyse small network topologies
to understand their response and general properties. In particular, we
catalogue the response for all possible topologies of a given network
size to generate a response distribution, analyse the effects of specific
biochemical processes on this distribution, and analyse the robustness and
diversity of responses with respect to internal fluctuations or mutations
in the network. The results show that even three- and four-protein networks
are capable of creating diverse and biologically relevant responses, that
the distribution of response types changes drastically as a function of
biochemical processes at protein level, and that certain topologies strongly
pre-dispose a specific response type while others allow for diverse types of
responses. This study sheds light on the response types and properties that
could be expected from signal transduction networks, provides possible
explanations for the role of certain biochemical processes in signal
transduction and suggests novel approaches to interfere with signaling
pathways at the molecular level. Furthermore it shows that network
topology plays a key role on determining response type and properties and
that proper representation of network topology is crucial to discover and
understand so-called building blocks of large networks.
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