Evidence map›Paper›PMID 28588213›Full record

ArticleScientific reports2017

Bacterial protease uses distinct thermodynamic signatures for substrate recognition.

Gustavo Arruda Bezerra, Yuko Ohara-Nemoto, Irina Cornaciu, Sofiya Fedosyuk, Guillaume Hoffmann, Adam Round, José A Márquez, Takayuki K Nemoto, Kristina Djinović-Carugo

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
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  4. Review
  5. Role of potassium levels in pkBADH heterogeneity of NADJournal of bioenergetics and biomembranes · 2020
    Article
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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

9 authors at 4 institutions in 5 countries.

Gustavo Arruda BezerraDepartment of Structural & Computational Biology, Max F. Perutz Laboratories, University of Vienna, Vienna Biocenter, Vienna Biocenter Campus 5, A-1030, Vienna, Austria. gustavo.bezerra@univie.ac.at.ORCID 0000-0003-4471-821X
Yuko Ohara-NemotoDepartment of Oral Molecular Biology, Course of Medical and Dental Sciences, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, 852-8588, Japan.
Irina CornaciuEuropean Molecular Biology Laboratory, Grenoble Outstation, 71 avenue des Martyrs, CS 90181, 38042, Grenoble, France.
Sofiya FedosyukMax F. Perutz Laboratories, Medical University of Vienna, Vienna Biocenter, Dr. Bohr-Gasse 9/3, A-1030, Vienna, Austria.
Guillaume HoffmannEuropean Molecular Biology Laboratory, Grenoble Outstation, 71 avenue des Martyrs, CS 90181, 38042, Grenoble, France.
Adam RoundEuropean Molecular Biology Laboratory, Grenoble Outstation, 71 avenue des Martyrs, CS 90181, 38042, Grenoble, France.
José A MárquezEuropean Molecular Biology Laboratory, Grenoble Outstation, 71 avenue des Martyrs, CS 90181, 38042, Grenoble, France.
Takayuki K NemotoDepartment of Oral Molecular Biology, Course of Medical and Dental Sciences, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, 852-8588, Japan.
Kristina Djinović-CarugoDepartment of Structural & Computational Biology, Max F. Perutz Laboratories, University of Vienna, Vienna Biocenter, Vienna Biocenter Campus 5, A-1030, Vienna, Austria.ORCID 0000-0003-0252-2972
European Molecular Biology Laboratory · FRNagasaki University · JPUniversity of Vienna · ATMax Perutz Labs · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Porphyromonas gingivalis and Porphyromonas endodontalis are important bacteria related to periodontitis, the most common chronic inflammatory disease in humans worldwide. Its comorbidity with systemic diseases, such as type 2 diabetes, oral cancers and cardiovascular diseases, continues to generate considerable interest. Surprisingly, these two microorganisms do not ferment carbohydrates; rather they use proteinaceous substrates as carbon and energy sources. However, the underlying biochemical mechanisms of their energy metabolism remain unknown. Here, we show that dipeptidyl peptidase 11 (DPP11), a central metabolic enzyme in these bacteria, undergoes a conformational change upon peptide binding to distinguish substrates from end products. It binds substrates through an entropy-driven process and end products in an enthalpy-driven fashion. We show that increase in protein conformational entropy is the main-driving force for substrate binding via the unfolding of specific regions of the enzyme ("entropy reservoirs"). The relationship between our structural and thermodynamics data yields a distinct model for protein-protein interactions where protein conformational entropy modulates the binding free-energy. Further, our findings provide a framework for the structure-based design of specific DPP11 inhibitors.

Indexed as

ThermodynamicsBacteriaCalorimetryEnzyme ActivationHydrolysisMagnetic Resonance SpectroscopyModels, MolecularPeptide HydrolasesProtein ConformationSubstrate SpecificityPeptide Hydrolases

Identifiers

PMID28588213
PMCPMC5460201
OpenAlexW2618018076

What OpenQuestion holds

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LicenceCC BY
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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.