Evidence map›Paper›PMID 42631386›Full record

ArticleAngewandte Chemie (International ed. in English)2026

Distinct Molten-Globule Conformations in an Interacting Protein Domain Resolved by

Abir Ben Bouzayene, Mariam Sai, Alexis Jouin, Yves Nominé, Vladimir Torbeev, Bruno Kieffer

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 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.

Abir Ben BouzayeneDepartment of Integrated Structural Biology, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), CNRS UMR 7104, INSERM U 1258, University of Strasbourg, Illkirch, France.ORCID https://orcid.org/0009-0008-2099-5144
Mariam SaiDepartment of Integrated Structural Biology, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), CNRS UMR 7104, INSERM U 1258, University of Strasbourg, Illkirch, France.ORCID https://orcid.org/0009-0006-8913-2828
Alexis JouinÉcole Supérieure de Biotechnologie de Strasbourg (ESBS), CNRS UMR 7242 Biotechnology and Cellular Signalling, University of Strasbourg, Illkirch, France.
Yves NominéDepartment of Integrated Structural Biology, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), CNRS UMR 7104, INSERM U 1258, University of Strasbourg, Illkirch, France.ORCID https://orcid.org/0000-0002-2912-116X
Vladimir TorbeevÉcole Supérieure de Biotechnologie de Strasbourg (ESBS), CNRS UMR 7242 Biotechnology and Cellular Signalling, University of Strasbourg, Illkirch, France.ORCID https://orcid.org/0000-0002-7865-1044
Bruno KiefferDepartment of Integrated Structural Biology, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), CNRS UMR 7104, INSERM U 1258, University of Strasbourg, Illkirch, France.ORCID https://orcid.org/0000-0002-2033-4679

Funding

European Research Council 715062-HiChemSynProEuropean Research Council ERC-2016-StGFrench Research Agency ANR-20-CE11-0025-01 "FLUOPROLINE"FRISBI ANR-10-INSB-0005Interdisciplinary Thematic Institute SysChem via the IdEx Unistra ANR-10-IDEX-0002
6 · The paper itself

Abstract

Recently, the application of deep learning to structural data deposited in the Protein Data Bank has enabled the reliable and accurate prediction of 3D folded structures of proteins from their sequences. However, this approach is not applicable to highly dynamic proteins, where multiple structures interconvert. Furthermore, the mechanistic details of protein folding and unfolding remain challenging to study. Herein, we present a set of data highlighting these complexities. By chemical incorporation of stereoisomeric 4-fluoroproline residues at selected sites in the sequence of a folded, multi-conformational protein ("molten-globule"), we were able to modify its structural properties that propagated to highly distinct functional features, such as modulation of ligand binding affinities or misfolding and aggregation into amyloids. Application of NMR methods, notably

Indexed as

Nuclear Magnetic Resonance, BiomolecularProlineProteinsFluorineModels, MolecularProtein ConformationProtein DomainsProtein FoldingFluorinefluoro-prolineProlineProteins19F NMR spectroscopyfluorinefluoroprolinemolten‐globuleprotein amyloidsprotein folding

Identifiers

PMID42631386
PMCPMC13653584

What OpenQuestion holds

Textmetadata
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.