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- W1999812749 abstract "Adaptation is one of the key functions for living organisms to properly operate in complex internal and external signalling environments. A series of recent studies demonstrated that robust adaptation is achievable through 3-node regulatory networks, such as Negative-Feedback-Loops (NFL) or Incoherent-Feed-Forward-Loops (IFFL), that are intrinsically dissipative and must consume energy to operate (e.g. to adapt). And the underlying thermodynamics follows a trade-off relation that adaptation accuracy can be improved exponentially by dissipating more energy within certain adaptation time. In this work, however, we constructed a tree-like biochemical network that operates at dynamic equilibrium. We showed that this network is also capable to provide robust and accurate adaptation. The tree-like network shares certain degrees of similarity with the NFL reaction network found in E. coli. chemotaxis, yet with some distinct topological characteristics. We systematically analysed this tree-like network's static (e.g. adaptation accuracy and operating range) and dynamic (e.g. response magnitude and responding/adapting speed) performances in the model parameter space. Our analyses indicate that such network can maintain its function in a broad range of backgrounds and perturbations. And because it is essentially comprised of the operator itself, this network is more resistant to other intracellular defects (e.g. abnormal expression levels or ratios of participating enzymes). Therefore, it could act as a safety net for living organisms to carry out vital physiological functions, which is in line with the modal gating regulation of Ryanodine receptors (RyRs) in Cardiac muscle cells that is implemented through this type of adaptive network." @default.
- W1999812749 created "2016-06-24" @default.
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- W1999812749 date "2013-01-01" @default.
- W1999812749 modified "2023-10-18" @default.
- W1999812749 title "A Tree-Like Network Enables Robust Adaptation without Energy Consumption" @default.
- W1999812749 doi "https://doi.org/10.1016/j.bpj.2012.11.904" @default.
- W1999812749 hasPublicationYear "2013" @default.
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