• Corpus ID: 8921696

Remarks on the energy costs of insulators in enzymatic cascades

@article{Barton2014RemarksOT,
  title={Remarks on the energy costs of insulators in enzymatic cascades},
  author={John P. Barton and Eduardo Sontag},
  journal={arXiv: Molecular Networks},
  year={2014}
}
The connection between optimal biological function and energy use, measuredfor example by the rate of metabolite consumption, is a current topic of interestin the systems biology literature which has been explored in several di erentcontexts. In [1], we related the metabolic cost of enzymatic futile cycles withtheir capacity to act as insulators which facilitate modular interconnections inbiochemical networks. There we analyzed a simple model system in which a signalmolecule regulates the… 
1 Citations

Figures from this paper

High rates of fuel consumption are not required by insulating motifs to suppress retroactivity in biochemical circuits
TLDR
It is found that simple insulating motifs can suppress retroactivity at a low fuel cost by coupling only weakly to the upstream system, but this design approach reduces the signalling network's robustness to perturbations from leak reactions, and potentially compromises its ability to respond to rapidly-varying signals.

References

SHOWING 1-5 OF 5 REFERENCES
Evolutionary Trade-Offs, Pareto Optimality, and the Geometry of Phenotype Space
TLDR
It is found that best–trade-off phenotypes are weighted averages of archetypes—phenotypes specialized for single tasks, which could explain linear trait correlations, allometric relationships, as well as bacterial gene-expression patterns.
Modular cell biology: retroactivity and insulation
TLDR
Here, the effect of interconnections on the input–output dynamic characteristics of transcriptional components are studied, focusing on a property, which is called ‘retroactivity’, that plays a role analogous to non‐zero output impedance in electrical systems.
Evolutionary trade-offs, pareto 9 optimality, and the geometry of phenotype
  • 2012