Structure, interactions, and dynamics of the RING domain from human TRAF6
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A key step in the signaling cascade responsible for activation of the transcription factor NF-kappaB involves Lys63-linked polyubiquitination of TRAF6. Covalent attachment of ubiquitin (Ub) to TRAF6, and subsequent poly(Ub) chain synthesis, is catalyzed by the hUev1a-hUbc13 heterodimer. hUbc13 is a catalytically competent E2 enzyme, and hUev1a is an E2-like protein that binds substrate Ub. The hUev1a-hUbc13 heterodimer is targeted to TRAF6 through interactions between hUbc13 and the N-terminal RING domain from TRAF6. Nuclear magnetic resonance (NMR) spectroscopy was used to determine the solution state structure of the RING domain from human TRAF6, and the interaction between hUbc13 and TRAF6 was characterized using NMR chemical shift mapping. The main-chain dynamics of the RING domain from TRAF6 were studied using (15)N NMR relaxation. Analysis of the main-chain dynamics data indicates that residues within the alpha-helix and beta-sheet of the RING domain are as rigid as regions of canonical secondary structure in larger proteins, consistent with the biological role of RING-domain E3 proteins, which requires that the E3 contain a recognition site for recruitment of E2 ubiquitin conjugation enzymes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 it