Insights into a functional model of key deubiquitinases <scp>UBP12</scp>/13 in plants
Bibliographic record
Abstract
Understanding the complexities of protein ubiquitination is crucial, as it plays a multifaceted role in controlling protein stability, activity, subcellular localization, and interaction, which are central to diverse biological processes. Deubiquitinases (DUBs) serve to reverse ubiquitination, but research progress in plant DUBs is noticeably limited. Among existing studies, UBIQUITIN-SPECIFIC PROTEASE 12 (UBP12) and UBP13 have garnered attention for their extensive role in diverse biological processes in plants. This review systematically summarizes the recent advancements in UBP12/13 studies, emphasizing their function, and their substrate specificity, their relationship with E3 ubiquitin ligases, and the similarities and differences with their mammalian orthologue, USP7. By unraveling the molecular mechanisms of UBP12/13, this review offers in-depth insights into the ubiquitin-proteasome system (UPS) in plants and aims to catalyze further explorations and comprehensive understanding in this field.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".