Regulation of Mitophagy by the Parkin Ubiquitin Ligase and PINK1 Ubiquitin Kinase
Bibliographic record
Abstract
Familial forms of Parkinson's disease arise from loss of the mitochondrial quality control pathway mediated by PINK1, a protein kinase, and Parkin, an E3 ubiquitin ligase. Together, they regulate the disposal of damaged mitochondria by autophagy (mitophagy). When damaged, mitochondria accumulate PINK1, which phosphorylates ubiquitin to recruit cytosolic Parkin. Normally quiescent due to autoinhibitory interactions, Parkin is activated by both phosphorylation by PINK1 and binding phosphorylated ubiquitin. The molecular mechanisms that activate activate Parkin have been the focus of much speculation. Here, I describe the crystal structure of the active conformation of Parkin that shows phosphorylation of parkin by PINK1 leads to a dramatic conformational change to derepress its E2‐binding and catalytic sites. Using a variety of experimental approaches, the activation pathways mediated by phospho‐ubiquitin binding and Parkin phosphorylation are compared. The study deepens our understanding of the mechanisms of Parkin activation and suggests new approaches for the treatment of Parkinson's disease by activating Parkin with small molecules. Support or Funding Information Canadian Institutes of Health Research and the Michael J Fox Foundation This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .
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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) | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".