Structural characterization of the Z RING-eIF4E complex reveals a distinct mode of control for eIF4E
Bibliographic record
Abstract
The eukaryotic translation initiation factor eIF4E, a potent oncogene, is highly regulated. One class of eIF4E regulators, including eIF4G and the 4E-binding proteins (4E-BPs), interact with eIF4E using a conserved YXXXXLPhi-binding site. The structural basis of this interaction and its regulation are well established. Really Interesting New Gene (RING) domain containing proteins, such as the promyelocytic leukemia protein PML and the arenaviral protein Z, represent a second class of eIF4E regulators that inhibit eIF4E function by decreasing eIF4E's affinity for its m(7)G cap ligand. To elucidate the structural basis of this inhibition, we determined the structure of Z and studied the Z-eIF4E complex using NMR methods. We show that Z interacts with eIF4E via a novel binding site, which has no homology with that of eIF4G or the 4E-BPs, and is different from the RING recognition site used in the ubiquitin system. Z and eIF4G interact with distinct parts of eIF4E and differentially alter the conformation of the m(7)G cap-binding site. Our results provide a molecular basis for how PML and Z RINGs reduce the affinity of eIF4E for the m(7)G cap and thereby act as key inhibitors of eIF4E function. Furthermore, our findings provide unique insights into RING protein interactions.
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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".