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Finding the Optimal Tradeoffs

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Presentation on theme: "Finding the Optimal Tradeoffs"— Presentation transcript:

1 Finding the Optimal Tradeoffs
Shibin Mathew, Amy E. Thurber, Suzanne Gaudet  Cell Systems  Volume 4, Issue 2, Pages (February 2017) DOI: /j.cels Copyright © 2017 Elsevier Inc. Terms and Conditions

2 Figure 1 A Search for Optimal FCD Network Motifs
(A) Diagram showing possible connections within a three-node motif, including positive (blue) and negative (red) regulation of activity (solid) or synthesis or degradation (dashed). (B) Diagrams of the topology of two FCD network motifs, an incoherent type 1 feedforward loop (I1-FFL) and a non-linear integral feedback loop (NLIFL). (C) Schematic of the time course of response (quantified by motif output) for two FCD network motifs. All FCD motifs show adaptation with a return to baseline in the steady state (dark orange region), but they differ in the transient regime (light-orange region). Here, we illustrate how transient response can differ in speed (defined as 1/τ, the time to center of mass of the response curve [dot]) and amplitude. (D) Schematic of a Pareto front showing optimal tradeoffs between two tasks. Motifs lying on the front (I1-FFL and motif 2) have reached an optimal tradeoff between task 1 and 2, while any internal motif is suboptimal, with room for improvement in both tasks. Cell Systems 2017 4, DOI: ( /j.cels ) Copyright © 2017 Elsevier Inc. Terms and Conditions


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