Investigation of the conserved glutamate immediately following the DEAD box in eukaryotic translation initiation factor 4AI
Bibliographic record
Abstract
The DExD-box family (DEAD-box) of proteins was surveyed for eukaryotic translation initiation factor 4A-specific sequences surrounding the DEAD box. An eIF4A-unique glutamate residue (E186 in eIF4AI) was identified immediately following the D-E-A-D sequence in eIF4AI, II, and III that was found to be conserved from yeast to Man. Mutation to a selection of alternative amino acids was performed within recombinant eIF4AI expressed in Escherichia coli and mutant proteins were surveyed for RNA-dependent ATPase activity. The mutants were also investigated for changes in activity in the presence of the two eIF4AI-binding domains of eIF4GI as well as for co-purification ability to these two domains. The E186 residue was found to be of significance for RNA-dependent ATPase activity for eIF4AI alone and in the presence of eIF4AI-binding domains of eIF4GI through point-mutation analysis. Furthermore, binding interactions between eIF4AI and eIF4GI domains were also significantly influenced by mutation of E186, as observed through co-purification assays. Thus, this residue appears to be of functional significance for eIF4A.
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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".