Probing Cooperativity of N‐Terminal Domain Orientations in the p97 Molecular Machine: Synergy Between NMR Spectroscopy and Cryo‐EM
Bibliographic record
Abstract
The hexameric p97 enzyme plays an integral role in cellular homeostasis. Large changes to the orientation of its N-terminal domains (NTDs), corresponding to NTD-down (p97-ADP) or NTD-up (p97-ATP), accompany ATP hydrolysis. The NTDs in a series of p97 disease mutants interconvert rapidly between up and down conformations when p97 is in the ADP-bound state. While the populations of up and down NTDs can be determined from bulk measurements, information about the cooperativity of the transition between conformations is lacking. Here we use cryo-EM to determine populations of the 14 unique up/down NTD states of the homo-hexameric R95G disease-causing p97 ring, showing that NTD orientations do not depend on those of neighboring subunits. In contrast, NMR studies establish that inter-protomer cooperativity is important for regulating the orientation of NTDs in p97 particles comprising mixtures of different subunits, such as wild-type and R95G, emphasizing the synergy between cryo-EM and NMR in establishing how the components of p97 function.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".