The role of calcium‐binding proteins in the control of transcription: structure to function
Bibliographic record
Abstract
Transcriptional regulation is coupled with numerous intracellular signaling processes often mediated by second messengers. Now, growing evidence points to the importance of Ca(2+), one of the most versatile second messengers, in activating or inhibiting gene transcription through actions frequently mediated by members of the EF-hand superfamily of Ca(2+)-binding proteins. Calmodulin and calcineurin, representative members of this EF-hand superfamily, indirectly regulate transcription through phosphorylation/dephosphorylation of transcription factors in response to a Ca(2+) increase in the cell. Recently, a novel EF-hand Ca(2+)-binding protein called DREAM has been found to interact with regulatory sequences of DNA, thereby acting as a direct regulator of transcription. Finally, S100B, a dimeric EF-hand Ca(2+)-binding protein, interacts with the tumor suppressor p53 and controls its transcriptional activity. In light of the structural studies reported to date, this review provides an overview of the structural basis of EF-hand Ca(2+)-binding proteins linked with transcriptional regulation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".