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Record W4410554623 · doi:10.1016/j.jbc.2025.110262

Symmetric stimulation of Hsp90 catalyzed ATP hydrolysis through enhanced active site gate dynamics

2025· article· en· W4410554623 on OpenAlexafffund
Breanna Magnan, Thomas Dumont, Suad Rashid, Paul LaPointe, Leo Spyracopoulos

Bibliographic record

VenueJournal of Biological Chemistry · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHeat shock proteins research
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaMetabolomics Innovation CentreCanadian Institutes of Health ResearchUniversity of Alberta
KeywordsActive siteCatalysisStimulationATP hydrolysisChemistryHydrolysisBiophysicsBiochemistryEnzymeBiologyNeuroscience

Abstract

fetched live from OpenAlex

Heat shock protein 90 (Hsp90) is a vital molecular chaperone that is essential for activating a diverse array of regulatory proteins through an ATP-dependent clamping cycle. The Hsp90 clamping cycle is driven by large-amplitude conformational changes within the N-terminal ATPase domain, including the release of an autoinhibitory N-terminal β-strap followed by a less well-characterized ATP gate rearrangement involving N-terminal helix 1. Here, we employed a combination of 19 F nuclear magnetic resonance (NMR) spectroscopy, molecular dynamics (MD) simulations, and ATPase assays to examine the effects of targeted β-strap and helix 1 mutations. Our findings reveal that targeted disruption of helix 1 packing against the ATPase domain accelerates clamp closure, symmetrically enhancing ATP hydrolysis for both subunits of the Hsp90 dimer, whereas activation by the Aha1 cochaperone is disrupted. Decreasing the energy barrier associated with helix 1 release is a key step in modulating the energy landscape that governs the dynamics of the Hsp90 clamping cycle.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.306
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes2
Has abstractyes

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