Structural basis for the pathogenicity of parkin catalytic domain mutants
Bibliographic record
Abstract
Mutations in the E3 ubiquitin ligase parkin cause a familial form of Parkinson's disease. Parkin and the mitochondrial kinase PTEN-induced kinase 1 assure quality control of mitochondria through selective autophagy of mitochondria (mitophagy). Whereas numerous parkin mutations have been functionally and structurally characterized, several Parkinson's disease mutations found in the catalytic Rcat domain of parkin remain poorly understood. Here, we characterize two pathogenic Rcat mutants, T415N and P437L. We demonstrate that both mutants exhibit impaired activity using autoubiquitination and ubiquitin vinyl sulfone assays. We determine the minimal ubiquitin-binding segment and show that both mutants display impaired binding of ubiquitin charged on the E2 enzyme. Finally, we use AlphaFold 3 to predict a model of the phospho-parkin:phospho-ubiquitin:ubiquitin-charged E2 complex. The model shows the repressor element of parkin and the N-terminal residues of the catalytic domain form a helix to position ubiquitin for transfer from the E2 to parkin. Our results rationalize the pathogenicity of the parkin mutations and deepen our understanding of the active parkin:E2∼Ub complex.
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".