Evidence map›Paper›PMID 22096453›Full record

ArticlePLoS computational biology2011

Trade-offs and constraints in allosteric sensing.

Bruno M C Martins, Peter S Swain

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 48 citations in OpenAlex.

  1. The Trajectory Statistics of Biological Exploratory Dynamics.bioRxiv : the preprint server for biology · 2026
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  8. Eukaryotic gene regulation at equilibrium, or non?Current opinion in systems biology · 2022
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  10. Optimal ligand discrimination by asymmetric dimerization and turnover of interferon receptors.Proceedings of the National Academy of Sciences of the United States of America · 2021
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  15. Combinatorial Control through Allostery.The journal of physical chemistry. B · 2019
    Article
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  20. Musings on mechanism: quest for a quark theory of proteins?FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2017
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 2 countries.

Bruno M C MartinsCentre for Systems Biology at Edinburgh, The University of Edinburgh, Edinburgh UK. bruno.martins@ed.ac.uk
Peter S Swain
University of Edinburgh · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sensing extracellular changes initiates signal transduction and is the first stage of cellular decision-making. Yet relatively little is known about why one form of sensing biochemistry has been selected over another. To gain insight into this question, we studied the sensing characteristics of one of the biochemically simplest of sensors: the allosteric transcription factor. Such proteins, common in microbes, directly transduce the detection of a sensed molecule to changes in gene regulation. Using the Monod-Wyman-Changeux model, we determined six sensing characteristics--the dynamic range, the Hill number, the intrinsic noise, the information transfer capacity, the static gain, and the mean response time--as a function of the biochemical parameters of individual sensors and of the number of sensors. We found that specifying one characteristic strongly constrains others. For example, a high dynamic range implies a high Hill number and a high capacity, and vice versa. Perhaps surprisingly, these constraints are so strong that most of the space of characteristics is inaccessible given biophysically plausible ranges of parameter values. Within our approximations, we can calculate the probability distribution of the numbers of input molecules that maximizes information transfer and show that a population of one hundred allosteric transcription factors can in principle distinguish between more than four bands of input concentrations. Our results imply that allosteric sensors are unlikely to have been selected for high performance in one sensing characteristic but for a compromise in the performance of many.

Indexed as

Allosteric RegulationModels, BiologicalSignal TransductionBacterial Physiological PhenomenaGene Expression RegulationSystems BiologyTranscription FactorsTranscription Factors

Identifiers

PMID22096453
PMCPMC3207937
OpenAlexW2072962595

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.