ArticleProceedings of the National Academy of Sciences of the United States of America2023
Noise properties of adaptation-conferring biochemical control modules.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- GenAI-Net: A generative AI framework for automated biomolecular network design.Science advances · 2026Article
- Toward single-cell control: noise-robust perfect adaptation in biomolecular systems.Nature communications · 2025Article
- Multi-Layer Autocatalytic Feedback Enables Integral Control Amidst Resource Competition and Across Scales.ACS synthetic biology · 2025Article
- Noise properties of adaptation-conferring biochemical control modules.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
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3 authors.
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Abstract
A key goal of synthetic biology is to develop functional biochemical modules with network-independent properties. Antithetic integral feedback (AIF) is a recently developed control module in which two control species perfectly annihilate each other's biological activity. The AIF module confers robust perfect adaptation to the steady-state average level of a controlled intracellular component when subjected to sustained perturbations. Recent work has suggested that such robustness comes at the unavoidable price of increased stochastic fluctuations around average levels. We present theoretical results that support and quantify this trade-off for the commonly analyzed AIF variant in the idealized limit with perfect annihilation. However, we also show that this trade-off is a singular limit of the control module: Even minute deviations from perfect adaptation allow systems to achieve effective noise suppression as long as cells can pay the corresponding energetic cost. We further show that a variant of the AIF control module can achieve significant noise suppression even in the idealized limit with perfect adaptation. This atypical configuration may thus be preferable in synthetic biology applications.
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