Evidence map›Paper›PMID 41949208›Full record

ArticleProtein science : a publication of the Protein Society2026

Ligand-driven modulation of chaperone-cochaperone networks shapes proteostasis outcomes.

Andrea Magni, Giorgio Bonollo, Gauthier Trèves, Francesco Frigerio, Fabrizio Cinquini, Silvia Pavoni, A Sofia F Oliveira, Adrian J Mulholland, Stefano A Serapian, Giorgio Colombo

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Ligand-driven modulation of chaperone-cochaperone networks shapes proteostasis outcomes.Protein science : a publication of the Protein Society · 2026
    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

10 authors.

Andrea MagniDipartimento di Chimica, Università di Pavia, Pavia, Italy.
Giorgio BonolloDipartimento di Chimica, Università di Pavia, Pavia, Italy.
Gauthier TrèvesDipartimento di Chimica, Università di Pavia, Pavia, Italy.
Francesco FrigerioDepartment of Physical Chemistry, R&D Eni SpA, San Donato Milanese (Mi), Italy.
Fabrizio CinquiniDepartment of Physical Chemistry, R&D Eni SpA, San Donato Milanese (Mi), Italy.
Silvia PavoniDepartment of Physical Chemistry, R&D Eni SpA, San Donato Milanese (Mi), Italy.
A Sofia F OliveiraCentre for Computational Chemistry, School of Chemistry, University of Bristol, Bristol, UK.
Adrian J MulhollandCentre for Computational Chemistry, School of Chemistry, University of Bristol, Bristol, UK.
Stefano A SerapianDipartimento di Chimica, Università di Pavia, Pavia, Italy.ORCID https://orcid.org/0000-0003-0122-8499
Giorgio ColomboDipartimento di Chimica, Università di Pavia, Pavia, Italy.ORCID https://orcid.org/0000-0002-1318-668X

Funding

Associazione Italiana per la Ricerca sul Cancro IG 2022-ID. 27139Ministero dell'Università e della Ricerca, National Centre for HPC, Big Data and Quantum Computing CN00000013University of Bristol BB/X009831/1
6 · The paper itself

Abstract

Protein homeostasis depends on a delicate interplay between folding and degradation, orchestrated by molecular chaperones. Among them, Hsp90 is a central hub, regulating nearly 10% of the proteome through ATP-driven conformational cycles and selective interactions with cochaperones. The glucocorticoid receptor (GR) represents a paradigmatic Hsp90 client, whose maturation requires sequential remodeling steps involving multi-protein assemblies. While cryo-EM provided snapshots of these complexes, the dynamic determinants of GR activation and the antagonistic roles of cochaperones FKBP51 and FKBP52 remain poorly understood. Here, we integrate unbiased equilibrium atomistic molecular dynamics with nonequilibrium simulations of four different Hsp90-cochaperone-client assemblies that oversee distinct steps of GR maturation to elucidate how finely tuned dynamics and coordination/communication mechanisms determine functional emergence. Perturbations encoded by ligand insertion or removal reveal steroid binding as critical for both structural stability and inter-component communication. Ligand engagement not only stabilizes GR's active conformation but also feeds back to reshape chaperone and cochaperone dynamics, thereby modulating progression through the folding pathway. Steroid binding reinforces the interface in the Hsp90-p23-GR assembly, positioning cochaperone p23 as a molecular sensor for ligand occupancy. Comparative analyses of post-maturation complexes further uncover how immunophilins FKBP51 and FKBP52, despite structural similarity, elicit divergent allosteric effects on GR conformation and Hsp90-ATPase, determining opposing client fates. Our results establish ligand binding as an active modulator of chaperone-mediated folding, linking metabolic cues (ligand presence and levels) to client maturation. More broadly, they highlight cochaperones as dynamic checkpoints that selectively bias client outcomes, revealing generalizable principles of proteostasis regulation and opportunities for therapeutic intervention.

Indexed as

HSP90 Heat-Shock ProteinsMolecular ChaperonesProteostasisReceptors, GlucocorticoidTacrolimus Binding ProteinsHumansLigandsMolecular Dynamics SimulationProstaglandin-E SynthasesProtein BindingTacrolimus Binding Protein 5HSP90 Heat-Shock ProteinsLigandsMolecular ChaperonesProstaglandin-E SynthasesReceptors, Glucocorticoidtacrolimus binding protein 4Tacrolimus Binding Protein 5Tacrolimus Binding ProteinsallosterychaperonesHsp90internal dynamicsligand recognitionligand regulation of functionmolecular dynamicsprotein folding

Identifiers

PMID41949208
PMCPMC13059100

What OpenQuestion holds

Textmetadata
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.