Bibliographic record
Abstract
The dysfunction of the E3 ubiquitin ligase Parkin is a key contributor to the development of early-onset Parkinson's disease. Parkin is responsible for the labelling of outer mitochondrial membrane proteins with the small modifier protein ubiquitin in response to oxidative stress. This ubiquitylation signals the clearance of the damaged mitochondria to preserve overall cell health. Recent structural and biochemical experiments have shown that native Parkin exists in an autoinhibited state that must be activated in order to unmask its full ubiquitylation potential. In a recent article in the Biochemical Journal (vol. 460, pp. 127-139), Kazlauskaite and co-workers identified that the Parkinson's disease-associated kinase PINK1 [PTEN (phosphatase and tensin homologue deleted on chromosome 10)-induced putative kinase 1] can phosphorylate ubiquitin in response to mitochondrial depolarization. Furthermore, the authors demonstrated that phosphorylated ubiquitin can activate Parkin's E3 ligase activity and promote both increased autoubiquitylation and substrate ubiquitylation of the mitochondrial protein Miro1. The study provides exciting initial insights that show how PINK1 might activate ubiquitin through phosphorylation, and how this important regulatory step might switch on Parkin-mediated ubiquitylation.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.004 | 0.002 |
| 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".