Asymmetric Dynamics Drive Catalytic Activation of the Hsp90 Chaperone
Bibliographic record
Abstract
The Hsp90 chaperone is an ATPase enzyme composed of two copies of a three-domain subunit. Hsp90 stabilizes and activates a diverse array of regulatory proteins. Substrates are bound and released by the middle domain through a clamping cycle involving conformational transitions between a dynamic open state and a compact conformationally restricted closed state. Intriguingly, the overall ATPase activity of dimeric Hsp90 can be asymmetrically enhanced through a single subunit when Hsp90 is bound to a cochaperone or when Hsp90 is composed of one active and one catalytically defunct subunit as a heterodimer. To explore the mechanism of asymmetric Hsp90 activation, we designed a subunit bearing N-terminal ATPase mutations that demonstrate increased intra- and interdomain dynamics. Using intact Hsp90 and various N-terminal and middle domain constructs, we blended 19 F NMR spectroscopy, molecular dynamics (MD) simulations, and ATPase assays to show that within the context of heterodimeric Hsp90, the conformationally dynamic subunit stimulates the ATPase activity of the normal subunit. The contrasting dynamic properties of the subunits within heterodimeric Hsp90 provide a mechanistic framework to understand the molecular basis for asymmetric Hsp90 activation and its importance for the biological function of Hsp90.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".