Protein kinase PKR mutants resistant to the poxvirus pseudosubstrate K3L protein
Bibliographic record
Abstract
As part of the mammalian cell innate immune response, the double-stranded RNA activated protein kinase PKR phosphorylates the translation initiation factor eIF2alpha to inhibit protein synthesis and thus block viral replication. Poxviruses including vaccinia and smallpox viruses express PKR inhibitors such as the vaccinia virus K3L protein that resembles the N-terminal substrate-targeting domain of eIF2alpha. Whereas high-level expression of human PKR was toxic in yeast, this growth inhibition was suppressed by coexpression of the K3L protein. We used this yeast assay to screen for PKR mutants that are resistant to K3L inhibition, and we identified 12 mutations mapping to the C-terminal lobe of the PKR kinase domain. The PKR mutations specifically conferred resistance to the K3L protein both in yeast and in vitro. Consistently, the PKR-D486V mutation led to nearly a 15-fold decrease in K3L binding affinity yet did not impair eIF2alpha phosphorylation. Our results support the identification of the eIF2alpha-binding site on an extensive face of the C-terminal lobe of the kinase domain, and they indicate that subtle changes to the PKR kinase domain can drastically impact pseudosubstrate inhibition while leaving substrate phosphorylation intact. We propose that these paradoxical effects of the PKR mutations on pseudosubstrate vs. substrate interactions reflect differences between the rigid K3L protein and the plastic nature of eIF2alpha around the Ser-51 phosphorylation site.
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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) | 0.001 | 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 | 0.001 |
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".