ArticlePloS one2016
Ultrasensitive Negative Feedback Control: A Natural Approach for the Design of Synthetic Controllers.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Integrating recombinase-based feedback and feedforward control for optimal resource decoupling.Nucleic acids research · 2025Article
- How DoesACS synthetic biology · 2024Article
- A General Approach for the Modelling of Negative Feedback Physiological Control Systems.Bioengineering (Basel, Switzerland) · 2023Article
- Dichotomous feedback: a signal sequestration-based feedback mechanism for biocontroller design.Journal of the Royal Society, Interface · 2022Article
- Stabilization of antithetic control via molecular buffering.Journal of the Royal Society, Interface · 2022Article
- Restoring circadian gene profiles in clock networks using synthetic feedback control.NPJ systems biology and applications · 2022Article
- Ultrasensitivity and bistability in covalent-modification cycles with positive autoregulation.Proceedings. Mathematical, physical, and engineering sciences · 2021Article
- Dynamic Optimization with Particle Swarms (DOPS): a meta-heuristic for parameter estimation in biochemical models.BMC systems biology · 2018Article
- Novel Influences of IL-10 on CNS Inflammation Revealed by Integrated Analyses of Cytokine Networks and Microglial Morphology.Frontiers in cellular neuroscience · 2017Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Many of the most important potential applications of Synthetic Biology will require the ability to design and implement high performance feedback control systems that can accurately regulate the dynamics of multiple molecular species within the cell. Here, we argue that the use of design strategies based on combining ultrasensitive response dynamics with negative feedback represents a natural approach to this problem that fully exploits the strongly nonlinear nature of cellular information processing. We propose that such feedback mechanisms can explain the adaptive responses observed in one of the most widely studied biomolecular feedback systems-the yeast osmoregulatory response network. Based on our analysis of such system, we identify strong links with a well-known branch of mathematical systems theory from the field of Control Engineering, known as Sliding Mode Control. These insights allow us to develop design guidelines that can inform the construction of feedback controllers for synthetic biological systems.
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Registered trials
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