Evidence map›Paper›PMID 34106049›Full record

ArticleeLife2021

Allosteric conformational ensembles have unlimited capacity for integrating information.

John W Biddle, Rosa Martinez-Corral, Felix Wong, Jeremy Gunawardena

Open access · goldAbstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

26 citing papers in PubMed, 35 citations in OpenAlex.

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  10. The Hill function is the universal Hopfield barrier for sharpness of input-output responses.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  16. Competing constraints shape the nonequilibrium limits of cellular decision-making.Proceedings of the National Academy of Sciences of the United States of America · 2023
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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

4 authors at 2 institutions in 1 country.

John W Biddle *Department of Systems Biology, Harvard Medical School, Boston, United States.ORCID 0000-0002-9887-064X
Rosa Martinez-Corral *Department of Systems Biology, Harvard Medical School, Boston, United States.ORCID 0000-0003-3600-3601
Felix WongInstitute for Medical Engineering and Science, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, United States.ORCID 0000-0002-2309-8835
Jeremy GunawardenaDepartment of Systems Biology, Harvard Medical School, Boston, United States.ORCID 0000-0002-7280-1152
Harvard University · USBroad Institute · US

Funding

Information Integration and Energy Expenditure in Eukaryotic Gene RegulationR01GM122928 · NIGMS · HARVARD MEDICAL SCHOOL · PI DEPACE, ANGELA H, GUNAWARDENA, JEREMY · 2017 to 2024
$3.7M
NIGMS NIH HHS R01 GM122928
6 · The paper itself

Abstract

Integration of binding information by macromolecular entities is fundamental to cellular functionality. Recent work has shown that such integration cannot be explained by pairwise cooperativities, in which binding is modulated by binding at another site. Higher-order cooperativities (HOCs), in which binding is collectively modulated by multiple other binding events, appear to be necessary but an appropriate mechanism has been lacking. We show here that HOCs arise through allostery, in which effective cooperativity emerges indirectly from an ensemble of dynamically interchanging conformations. Conformational ensembles play important roles in many cellular processes but their integrative capabilities remain poorly understood. We show that sufficiently complex ensembles can implement any form of information integration achievable without energy expenditure, including all patterns of HOCs. Our results provide a rigorous biophysical foundation for analysing the integration of binding information through allostery. We discuss the implications for eukaryotic gene regulation, where complex conformational dynamics accompanies widespread information integration.

Indexed as

Models, BiologicalProtein ConformationAllosteric RegulationAnimalsBiophysical PhenomenaGene Expression RegulationMachine LearningProtein Bindingallosteryconformational ensembleshigher-order coopeartivityinformation integrationlinear frameworkmolecular biophysicsnonephysics of living systemsstructural biology

Identifiers

PMID34106049
PMCPMC8189718
OpenAlexW3171773865

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.