Conserved Intermolecular Salt Bridge Required for Activation of Protein Kinases PKR, GCN2, and PERK
Bibliographic record
Abstract
The protein kinases PKR, GCN2, and PERK phosphorylate translation initiation factor eIF2alpha to regulate general and genespecific protein synthesis under various cellular stress conditions. Recent x-ray crystallographic structures of PKR and GCN2 revealed distinct dimeric configurations of the kinase domains. Whereas PKR kinase domains dimerized in a back-to-back and parallel orientation, the GCN2 kinase domains displayed an antiparallel orientation. The dimerization interfaces on PKR and GCN2 were localized to overlapping surfaces on the N-terminal lobes of the kinase domains but utilized different intermolecular contacts. A key feature of the PKR dimerization interface is a salt bridge interaction between Arg(262) from one protomer and Asp(266) from the second protomer. Interestingly, these two residues are conserved in all eIF2alpha kinases, although in the GCN2 structure, the two residues are too remote to interact. To test the importance of this potential salt bridge interaction in PKR, GCN2, and PERK, the residues constituting the salt bridge were mutated either independently or together to residues with the opposite charge. Single mutations of the Asp (or Glu) and Arg residues blocked kinase function both in yeast cells and in vitro. However, for all three kinases, the double mutation designed to restore the salt bridge interaction with opposite polarity resulted in a functional kinase. Thus, the salt bridge interaction and dimer interface observed in the PKR structure is critical for the activity of all three eIF2alpha kinases. These results are consistent with the notion that the PKR structure represents the active state of the eIF2alpha kinase domain, whereas the GCN2 structure may represent an inactive state of the kinase.
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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".