Dynamics of the RING Domain from Human TRAF6 by <sup>15</sup>N NMR Spectroscopy: Implications for Biological Function
Bibliographic record
Abstract
Activation of transcription factor NF-kappaB requires Lys63-linked polyubiquitination of the E3 ubiquitin ligase TRAF6 via protein-protein interactions mediated by a RING domain. In this study, intra- and intermolecular chemical exchange processes of the TRAF6 RING domain were analyzed by (15)N NMR spectroscopy. Micro- to millisecond time scale motions were assessed through R 1, R 2, NOE, and cross-correlated relaxation measurements, and the kinetics of these motions were quantified with relaxation dispersion. The relaxation experiments indicate that the protein core is rigid, consistent with the functional requirement that RING domains form a binding scaffold for E2 ubiquitin conjugation enzymes. Chemical exchange is observed at the C-terminal end of the main alpha-helix of the RING domain. The C-terminal end of the main alpha-helix from the RING domain is involved in E2-E3 interactions, and modulation of slow motions for this region of the helix may be a general mechanism by which these interactions achieve ubiquitin transfer. Chemical shift mapping indicates that the TRAF6 RING domain does not self-associate in solution. Numerous RING domains are homo- or heterodimeric, and this is thought to be a functional necessity for recruitment of substrates for ubiquitination, or recruitment of multiple E2 enzymes for efficient substrate ubiquitination. However, lack of self-association for the RING domain from TRAF6, and the observation that the intact protein is a trimer, suggests that close association of RING domains within a homodimeric scaffold may not be a fundamental requirement for biological 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 | 0.000 |
| 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".