Mitochondrial tyrosine phosphoproteome: New insights from an up‐to‐date analysis
Bibliographic record
Abstract
Tyrosine phosphorylation is a newcomer in the mitochondrial signaling and is currently emerging as an important mechanism for regulating mitochondrial processes. But to what extent? By analyzing an updated draft of the mitochondrial tyrosine phosphoproteome, the following observations can be drawn: more than a hundred mitochondrial proteins undergo tyrosine phosphorylation, phosphotyrosine proteins are distributed in each of the submitochondrial compartments, and mitochondrial tyrosine phosphorylated proteins are involved in a variety of functions as metabolism (electron transport chain, Krebs cycle, fatty acid and amino acid metabolism), solute and protein transport, mitochondrial translation machinery, quality protein assessment, oxidative stress, apoptosis, fission, and other. This large and varied collection suggests that tyrosine phosphorylation could be a widespread mechanism in modulating mitochondrial functions. Moreover the in silico model is here used to explore potential effects of tyrosine phosphorylation on selected mitochondrial proteins pointing out some future perspectives in this field.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".