Evidence map›Paper›PMID 41188311›Full record

ArticleScientific reports2025

Towards site-specific information on PET degrading enzymes using NMR near operational temperature.

Valeria Gabrielli, Jelena Grga, Sabine Gavalda, Laura Perrot, François-Xavier Cantrelle, Emmanuelle Boll, Guy Lippens, Cyril Charlier

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

8 authors.

Valeria GabrielliToulouse Biotechnology Institute (TBI), University of Toulouse, CNRS, INRAE, INSA Toulouse, 135 Avenue de Rangueil, 31077, Toulouse Cedex 04, France.
Jelena GrgaToulouse Biotechnology Institute (TBI), University of Toulouse, CNRS, INRAE, INSA Toulouse, 135 Avenue de Rangueil, 31077, Toulouse Cedex 04, France.
Sabine GavaldaCarbios, Parc Cataroux-Bâtiment B80, 8 rue de la Grolière, 63100, Clermont-Ferrand, France.
Laura PerrotCarbios, Parc Cataroux-Bâtiment B80, 8 rue de la Grolière, 63100, Clermont-Ferrand, France.
François-Xavier CantrelleCNRS EMR 9002─Integrative Structural Biology, 59000, Lille, France.
Emmanuelle BollCNRS EMR 9002─Integrative Structural Biology, 59000, Lille, France.
Guy LippensToulouse Biotechnology Institute (TBI), University of Toulouse, CNRS, INRAE, INSA Toulouse, 135 Avenue de Rangueil, 31077, Toulouse Cedex 04, France. glippens@insa-toulouse.fr.
Cyril CharlierToulouse Biotechnology Institute (TBI), University of Toulouse, CNRS, INRAE, INSA Toulouse, 135 Avenue de Rangueil, 31077, Toulouse Cedex 04, France. charlier@insa-toulouse.fr.

Funding

Agence de la transition écologique 2282D0513-C
6 · The paper itself

Abstract

PETases are enzymes that can break down the poly-ethylene terephthalate (PET) polymer in its constituent building blocks. This enzymatic recycling process offers a sustainable solution for producing new, high-quality plastics from previously used materials. NMR spectroscopy can help in understanding and ultimately improving these enzymes but is always confronted with the lengthy step of acquisition and interpretation of triple resonance spectra for the spectral assignment. Here, we explore whether this step can be made more efficient by recording the spectra directly at high temperature, which simultaneously corresponds to more realistic working conditions for the enzyme. Taking the inactive variant of LCC

Indexed as

Polyethylene TerephthalatesMagnetic Resonance SpectroscopyTemperaturePolyethylene Terephthalates

Identifiers

PMID41188311
PMCPMC12586641

What OpenQuestion holds

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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.