Evidence map›Paper›PMID 42191689›Full record

ArticleNature communications2026

Highly dynamic assemblies of glycolytic enzymes by quinary determinants.

Blanca Poquet, Galal Yahya, Laia Ferrer, Enrique Marcos, Carme Gallego, Martí Aldea

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Blanca PoquetMolecular Biology Institute of Barcelona (IBMB), CSIC, Barcelona, Spain.ORCID http://orcid.org/0000-0001-7565-9473
Galal YahyaMolecular Biology Institute of Barcelona (IBMB), CSIC, Barcelona, Spain. gmebmc@ibmb.csic.es.
Laia FerrerMolecular Biology Institute of Barcelona (IBMB), CSIC, Barcelona, Spain.
Enrique MarcosMolecular Biology Institute of Barcelona (IBMB), CSIC, Barcelona, Spain.
Carme GallegoMolecular Biology Institute of Barcelona (IBMB), CSIC, Barcelona, Spain.ORCID http://orcid.org/0000-0001-6961-3524
Martí AldeaMolecular Biology Institute of Barcelona (IBMB), CSIC, Barcelona, Spain. marti.aldea@ibmb.csic.es.ORCID http://orcid.org/0000-0002-8710-5336

Funding

Ministry of Economy and Competitiveness | Agencia Estatal de Investigación (Spanish Agencia Estatal de Investigación) PID2022-141460NB-I00
6 · The paper itself

Abstract

Molecular channelling has long since been proposed as an amenable solution to efficiently drive sequential enzymatic reactions in the cell. Nonetheless, metabolic channelling in central pathways such as glycolysis is still a matter of debate and plausible underlying mechanisms are not known. Here we use correlation spectroscopy and proximity labelling methods to uncover extremely dynamic interactions among enzymes of the glycolysis pathway in yeast and human cells. The resulting transient protein assemblies, tentatively named as protein flocks, form in the cytoplasm with a lifetime shorter than 10 ms. Compared to other metabolic pathways, glycolytic enzymes display a greater similarity in the electrochemical properties of surface atoms, pointing to quinary structural features as molecular determinants of protein flocks. We observe a remarkable negative correlation between the spatiotemporal coincidence by correlation spectroscopy and the Euclidean distance in surface atom configuration within multiple protein pairs, including a collection of surface variants generated from a de novo designed protein framework. By underlying protein flock formation from yeast to human, quinary determinants would provide enzymes with higher efficiency and specificity in glycolysis but, perhaps more important to human cells, would limit intermediate concentrations and prevent their inherent toxic effects.

Indexed as

GlycolysisSaccharomyces cerevisiaeCytoplasmHumansSaccharomyces cerevisiae ProteinsSaccharomyces cerevisiae Proteins

Identifiers

PMID42191689
PMCPMC13389168

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.