Role of Protein Phosphorylation among Oxidative Phosphorylation Components
Bibliographic record
Abstract
Abstract Mitochondria are important organelles for cellular physiology considering their role in generation of ATP and reactive oxygen species, calcium homeostasis and programmed cell death. In particular, mitochondria produce ATP via oxidative phosphorylation. Mitochondrial activity must be tightly regulated as alteration to the organelle functions can lead to different pathologies including neurodegenerative and metabolic diseases. Phosphorylation of mitochondrial proteins, including the enzymes involved in oxidative phosphorylation, emerged as an important way to modulate mitochondrial metabolism according to physiological conditions. In recent years, several kinases and phosphatases were observed within mitochondria. Numerous phosphorylation sites among the components of the oxidative phosphorylation machinery were observed. These findings open a new field in mitochondrial physiology and cellular biology, showing that well‐known signalling pathways can reach proteins within mitochondria to adjust the organelle activity to extramitochondrial stimuli. Key Concepts Mitochondria provide the most part of ATP used by cells via oxidative phosphorylation. Kinases and phosphatases are present within mitochondria. Intramitochondrial kinases target several components of the oxidative phosphorylation machinery. Phosphorylation of mitochondrial proteins represents an important mean to modulate oxidative phosphorylation and other mitochondrial functions. Better knowledge about translocation of kinases and phosphatases inside mitochondria is needed.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.006 |
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".