Ataxin-3 Is a Multivalent Ligand for the Parkin Ubl Domain
Bibliographic record
Abstract
The ubiquitin signaling pathway consists of hundreds of enzymes that are tightly regulated for the maintenance of cell homeostasis. Parkin is an E3 ubiquitin ligase responsible for conjugating ubiquitin onto a substrate protein, which itself can be ubiquitinated. Ataxin-3 performs the opposing function as a deubiquitinating enzyme that can remove ubiquitin from parkin. In this work, we have identified the mechanism of interaction between the ubiquitin-like (Ubl) domain from parkin and three C-terminal ubiquitin-interacting motifs (UIMs) in ataxin-3. (1)H-(15)N heteronuclear single-quantum coherence titration experiments revealed that there are weak direct interactions between all three individual UIM regions of ataxin-3 and the Ubl domain. Each UIM utilizes the exposed β-grasp surface of the Ubl domain centered around the I44 patch that did not vary in the residues involved or the surface size as a function of the number of ataxin-3 UIMs involved. Further, the apparent dissociation constant for ataxin-3 decreased as a function of the number of UIM regions used in experiments. A global multisite fit of the nuclear magnetic resonance titration data, based on three identical binding ligands, resulted in a KD of 669 ± 62 μM for each site. Our observations support a multivalent ligand binding mechanism employed by the parkin Ubl domain to recruit multiple UIM regions in ataxin-3 and provide insight into how these two proteins function together in ubiquitination-deubiquitination pathways.
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 | 0.001 |
| 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".