ArticleProceedings of the National Academy of Sciences of the United States of America2022
CoRa-A general approach for quantifying biological feedback control.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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Who cites it
4 citing papers in PubMed, 4 citations in OpenAlex.
- A fundamental trade-off among noise suppression, response sensitivity and speed in biological feedback networks.NPJ systems biology and applications · 2026Article
- Oligomerization and positive feedback on membrane recruitment encode dynamically stable PAR-3 asymmetries in thebioRxiv : the preprint server for biology · 2025Article
- A critical re-evaluation of the slope factor of the operational model of agonism: When to exponentiate operational efficacy.Scientific reports · 2023Article
- Noise properties of adaptation-conferring biochemical control modules.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Feedback control is a fundamental underpinning of life, underlying homeostasis of biological processes at every scale of organization, from cells to ecosystems. The ability to evaluate the contribution and limitations of feedback control mechanisms operating in cells is a critical step for understanding and ultimately designing feedback control systems with biological molecules. Here, we introduce CoRa-or Control Ratio-a general framework that quantifies the contribution of a biological feedback control mechanism to adaptation using a mathematically controlled comparison to an identical system that does not contain the feedback. CoRa provides a simple and intuitive metric with broad applicability to biological feedback systems.
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