Cooperative subunit dynamics modulate p97 function
Bibliographic record
Abstract
p97 is an essential hexameric AAA+ ATPase involved in a wide range of cellular processes. Mutations in the enzyme are implicated in the etiology of an autosomal dominant neurological disease in which patients are heterozygous with respect to p97 alleles, containing one copy each of WT and disease-causing mutant genes, so that, in vivo, p97 molecules can be heterogeneous in subunit composition. Studies of p97 have, however, focused on homohexameric constructs, where protomers are either entirely WT or contain a disease-causing mutation, showing that for WT p97, the N-terminal domain (NTD) of each subunit can exist in either a down (ADP) or up (ATP) conformation. NMR studies establish that, in the ADP-bound state, the up/down NTD equilibrium shifts progressively toward the up conformation as a function of disease mutant severity. To understand NTD functional dynamics in biologically relevant p97 heterohexamers comprising both WT and disease-causing mutant subunits, we performed a methyl-transverse relaxation optimized spectroscopy (TROSY) NMR study on a series of constructs in which only one of the protomer types is NMR-labeled. Our results show positive cooperativity of NTD up/down equilibria between neighboring protomers, allowing us to define interprotomer pathways that mediate the allosteric communication between subunits. Notably, the perturbed up/down NTD equilibrium in mutant subunits is partially restored by neighboring WT protomers, as is the two-pronged binding of the UBXD1 adaptor that is affected in disease. This work highlights the plasticity of p97 and how subtle perturbations to its free-energy landscape lead to significant changes in NTD conformation and adaptor binding.
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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 | 0.001 |
| 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".