Evidence map›Paper›PMID 31464375›Full record

ArticleMolecular systems biology2019

Systematic mapping of protein-metabolite interactions in central metabolism of Escherichia coli.

Maren Diether, Yaroslav Nikolaev, Frédéric Ht Allain, Uwe Sauer

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

25 citing papers in PubMed, 64 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. MultiNMRFit: a software to fit 1D and pseudo-2D NMR spectra.Bioinformatics (Oxford, England) · 2025
    Article
  5. Article
  6. Systematic identification of allosteric effectors inProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. The Knowns and Unknowns in Protein-Metabolite Interactions.International journal of molecular sciences · 2023
    Review
  15. Protein-Metabolite Interactions Shape Cellular Metabolism and Physiology.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  16. Article
  17. Article
  18. Review
  19. Studying Metabolism by NMR-Based Metabolomics.Frontiers in molecular biosciences · 2022
    Review
  20. Article
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 1 institution in 1 country.

Maren DietherInstitute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
Yaroslav NikolaevInstitute of Molecular Biology and Biophysics, ETH Zurich, Zurich, Switzerland.ORCID 0000-0002-1479-7474
Frédéric Ht AllainInstitute of Molecular Biology and Biophysics, ETH Zurich, Zurich, Switzerland.ORCID 0000-0002-2131-6237
Uwe SauerInstitute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.ORCID 0000-0002-5923-0770
ETH Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolite binding to proteins regulates nearly all cellular processes, but our knowledge of these interactions originates primarily from empirical in vitro studies. Here, we report the first systematic study of interactions between water-soluble proteins and polar metabolites in an entire biological subnetwork. To test the depth of our current knowledge, we chose to investigate the well-characterized Escherichia coli central metabolism. Using ligand-detected NMR, we assayed 29 enzymes towards binding events with 55 intracellular metabolites. Focusing on high-confidence interactions at a false-positive rate of 5%, we detected 98 interactions, among which purine nucleotides accounted for one-third, while 50% of all metabolites did not interact with any enzyme. In contrast, only five enzymes did not exhibit any metabolite binding and some interacted with up to 11 metabolites. About 40% of the interacting metabolites were predicted to be allosteric effectors based on low chemical similarity to their target's reactants. For five of the eight tested interactions, in vitro assays confirmed novel regulatory functions, including ATP and GTP inhibition of the first pentose phosphate pathway enzyme. With 76 new candidate regulatory interactions that have not been reported previously, we essentially doubled the number of known interactions, indicating that the presently available information about protein-metabolite interactions may only be the tip of the iceberg.

Indexed as

MetabolomeAdenosine TriphosphateAllosteric RegulationAllosteric SiteEscherichia coliEscherichia coli ProteinsGene ExpressionGuanosine TriphosphateMagnetic Resonance SpectroscopyMetabolic Networks and PathwaysProtein BindingAdenosine TriphosphateEscherichia coli ProteinsGuanosine Triphosphateallosterycentral metabolismnuclear magnetic resonanceprotein-metabolite interactionsregulation

Identifiers

PMID31464375
PMCPMC6706640
OpenAlexW2969990740

What OpenQuestion holds

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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.