ArticlePLoS computational biology2013
Evolutionary tradeoffs between economy and effectiveness in biological homeostasis systems.
Article in PLoS computational biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
32 citing papers in PubMed, 69 citations in OpenAlex.
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- Fundamental Trade-Offs in the Robustness of Biological Systems with Feedback Regulation.ACS synthetic biology · 2025Article
- A model-based design strategy to engineer miRNA-regulated detection systems.Frontiers in systems biology · 2025Article
- Morphogens in the evolution of size, shape and patterning.Development (Cambridge, England) · 2024Review
- Degeneracy in epilepsy: multiple routes to hyperexcitable brain circuits and their repair.Communications biology · 2023Review
- Pareto optimality, economy-effectiveness trade-offs and ion channel degeneracy: improving population modelling for single neurons.Open biology · 2022Review
- Symbiosis and the Anthropocene.Symbiosis (Philadelphia, Pa.) · 2021Article
- Achieving functional neuronal dendrite structure through sequential stochastic growth and retraction.eLife · 2020Article
- Using optimal control to understand complex metabolic pathways.BMC bioinformatics · 2020Article
- Theoretical study of the impact of adaptation on cell-fate heterogeneity and fractional killing.Scientific reports · 2020Article
- Experimental evidence for constraints in amplitude-timescale co-variation of a biomolecular pulse generating circuit design.IET systems biology · 2020Article
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- Tumour heterogeneity and the evolutionary trade-offs of cancer.Nature reviews. Cancer · 2020Review
- How to design an optimal sensor network for the unfolded protein response.Molecular biology of the cell · 2018Article
- A biomolecular proportional integral controller based on feedback regulations of protein level and activity.Royal Society open science · 2018Article
- Global Profiling of Lysine Acetylation inFrontiers in microbiology · 2018Article
- Information processing in bacteria: memory, computation, and statistical physics: a key issues review.Reports on progress in physics. Physical Society (Great Britain) · 2016Review
- Design Principles of Biological Oscillators through Optimization: Forward and Reverse Analysis.PloS one · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biological regulatory systems face a fundamental tradeoff: they must be effective but at the same time also economical. For example, regulatory systems that are designed to repair damage must be effective in reducing damage, but economical in not making too many repair proteins because making excessive proteins carries a fitness cost to the cell, called protein burden. In order to see how biological systems compromise between the two tasks of effectiveness and economy, we applied an approach from economics and engineering called Pareto optimality. This approach allows calculating the best-compromise systems that optimally combine the two tasks. We used a simple and general model for regulation, known as integral feedback, and showed that best-compromise systems have particular combinations of biochemical parameters that control the response rate and basal level. We find that the optimal systems fall on a curve in parameter space. Due to this feature, even if one is able to measure only a small fraction of the system's parameters, one can infer the rest. We applied this approach to estimate parameters in three biological systems: response to heat shock and response to DNA damage in bacteria, and calcium homeostasis in mammals.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.