Order or chaos? An evaluation of the regulation of protein kinase CK2
Bibliographic record
Abstract
CK2 is a highly conserved, ubiquitously expressed protein serine/threonine kinase present in all eukaryotes. Circumscribed as having a vast array of substrates located in a number of cellular compartments, CK2 has been implicated in critical cellular processes such as proliferation, apoptosis, differentiation, and transformation. Despite advances in elucidating its substrates and involvement in cellular regulation, its precise mode of regulation remains poorly defined. In this respect, there are currently conflicting views as to whether CK2 is constitutively active or modulated in response to specific stimuli. Perhaps an important consideration in resolving these apparent discrepancies is recognition of the existence of many discrete CK2 subpopulations that are distinguished from one another by localization or association with distinct cellular components. The existence of these subpopulations brings to light the possibility of each population being regulated independently rather than the entire cellular CK2 content being regulated globally. Logically, each local population may then be regulated in a distinct manner to carry out its precise function(s). This review will examine those mechanisms including regulated expression and assembly of CK2 subunits, phosphorylation of CK2, and interactions with small molecules or cellular proteins that could contribute to the local regulation of distinct CK2 populations.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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) | 0.001 | 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".