Ala Trusina
Invited Talk
Robust Adaption Circuits
Many signaling systems show adaptationthe ability to reset themselves
after responding to a stimulus. We computationally searched all possible
three-node enzyme network topologies to identify those that could perform
adaptation. Only two major core topologies emerge as robust solutions: a
negative feedback loop with a buffering node and an incoherent feedforward
loop with a proportioner node. Minimal circuits containing these topologies
are, within proper regions of parameter space, sufficient to achieve adaptation.
More complex circuits that robustly perform adaptation all contain
at least one of these topologies at their core. This analysis yields a design
table highlighting a finite set of adaptive circuits. Despite the diversity of
possible biochemical networks, it may be common to find that only a finite
set of core topologies can execute a particular function. These design rules
provide a framework for functionally classifying complex natural networks
and a manual for engineering networks.
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