Naturally occurring hyperactive variants of human parkin
Bibliographic record
Abstract
Parkinson’s disease (PD) is the second most common neurodegenerative disease in the world. Although most cases are sporadic and occur later in life, 10–15% of cases are genetic. Loss-of-function mutations in the ring-between-ring E3 ubiquitin ligase parkin, encoded by the PRKN gene, cause autosomal recessive forms of early onset PD. Together with the kinase PINK1, parkin forms a mitochondrial quality control pathway that tags damaged mitochondria for clearance. Under basal conditions, parkin is inhibited and compounds that increase its activity have been proposed as a therapy for PD. Recently, several naturally occurring hyperactive parkin variants were identified, which increased mitophagy in cultured cells. Here, we validate the hyperactivities of these variants in vitro and compare the levels of activity of the variants to those of the wild-type and the well-characterized hyperactive variant, W403A. We also study the effects of mutating the parkin ACT (activating element) on parkin activity in vitro. This work advances our understanding of the pathogenicity of parkin variants and is an important first step in the design of molecules to increase parkin activity. The activities of five naturally occurring parkin variants were characterized in vitro and compared to the well-characterized hyperactive variant, W403A. Mutations in the parkin ACT (activating element) had a small but measurable effect on activity.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Scholarly communication | 0.000 | 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".