Conformational Dynamics of Free and Catalytically Active Thermolysin Are Indistinguishable by Hydrogen/Deuterium Exchange Mass Spectrometry
Bibliographic record
Abstract
Conformational dynamics are thought to be a prerequisite for the catalytic activity of enzymes. However, the exact relationship between structural fluctuations and function is not well understood. In this work hydrogen/deuterium exchange (HDX) and electrospray ionization mass spectrometry (ESI-MS) are used for exploring the conformational dynamics of thermolysin. Amide HDX reflects the internal mobility of proteins; regions that undergo frequent unfolding-refolding show faster exchange than segments that are highly stable. Thermolysin is a zinc protease with an active site that is located between two lobes. Substrate turnover is associated with hinge bending that leads to a closed conformation. Product release regenerates the open form, such that steady-state catalysis involves a continuous closing/opening cycle. HDX/ESI-MS with proteolytic peptide mapping in the absence of substrate shows that elements in the periphery of the two lobes are most mobile. A comparison with previous X-ray data suggests that these peripheral regions undergo quite pronounced structural changes during the catalytic cycle. In contrast, active site residues exhibit only a moderate degree of backbone flexibility, and the central zinc appears to be in a fairly rigid environment. The presence of both rigid and moderately flexible elements in the active site may reflect a carefully tuned balance that is required for function. Interestingly, the HDX behavior of catalytically active thermolysin is indistinguishable from that of the free enzyme. This result is consistent with the view that catalytically relevant motions preexist in the resting state and that enzyme function can only be performed within the limitations given by the intrinsic dynamics of the protein. The data presented in this work indicate the prevalence of stochastic elements in the function of thermolysin, rather than supporting a deterministic mechanism.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.002 | 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 teacher head, 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".