Old proteins, developing roles: The regulation of calcium channels by synaptic proteins
Bibliographic record
Abstract
Coupling of presynaptic voltage-gated calcium channels to the synaptic release machinery is critical for neurotransmission. It was traditionally believed that anchoring calcium channels close to the calcium microdomain dependent release machinery was the main reason for the physical interactions between channels and synaptic proteins, however in recent years, it is becoming clear that these proteins additionally regulate channel activity, and such processes as channel targeting and alternative splicing, to orchestrate a much broader regulatory role in controlling calcium channel function, calcium influx and hence neurotransmission. Calcium signalling serves a multitude of cellular functions and therefore requires tight regulation. Specific, often calcium-dependent interactions between synaptic proteins and calcium channels appear to play a significant role in fine-tuning of the synaptic response over development. While it is clear that investigation of a few of the multitude of synaptic proteins will not provide a complete understanding of calcium channel regulation, consideration of the emerging mechanisms by which synaptic protein interactions might regulate calcium channel function is important in order to understand their possible contributions to synaptic transmission. Here, we review the current state of knowledge of the molecular mechanisms by which synaptic proteins regulate presynaptic calcium channel activity.
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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) | 0.002 | 0.003 |
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".