The Mnks: MAP kinase-interacting kinases (MAP kinase signal-integrating kinases)
Bibliographic record
Abstract
The human MAP kinase-interacting kinases (or MAP kinase signal-integrating kinases), Mnks, comprise a group of four proteins derived from two genes (Gene symbols: MKNK1 and MKNK2) by alternative splicing. Mnk1a/b differ at their C-termini, as do Mnk2a/2b: in each case, the a-form possesses a longer C-terminal region than the b-form, which lacks the MAP kinase-binding region. The N-termini of all forms contain a polybasic region which binds importin a and the translation factor scaffold protein eukaryotic initiation factor (eIF) 4G. The catalytic domains of Mnk1a/b and Mnk2a/b share three unusual features: two short inserts and a DFD feature where other kinases have DFG. Mnk isoforms differ markedly in their activity and regulation, and in subcellular localization. The best-characterised Mnk substrate is eIF4E. The cellular role of eIF4E phosphorylation remains unclear: it may promote export of certain mRNAs from the nucleus. Other Mnk substrates bind to AU-rich elements that modulate the stability/translation of specific mRNAs. Mnks may also control production of inflammatory mediators and signaling from tyrosine kinase receptors, as well as cell proliferation or survival.
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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) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.010 |
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".