The role of ubiquitin-binding domains in human pathophysiology
Bibliographic record
Abstract
Ubiquitination, a fundamental post-translational modification (PTM) resulting in the covalent attachment of ubiquitin (Ub) to a target protein, is currently implicated in several key cellular processes. Although ubiquitination was initially associated with protein degradation, it is becoming increasingly evident that proteins labeled with polyUb chains of specific topology and length are activated in an ever-expanding repertoire of specific cellular processes. In addition to their involvement in the classical protein degradation pathways they are involved in DNA repair, kinase regulation and nuclear factor-κB (NF-κB) signaling. The sorting and processing of distinct Ub signals is mediated by small protein motifs, known as Ub-binding domains (UBDs), which are found in proteins that execute disparate biological functions. The involvement of UBDs in several biological pathways has been revealed by several studies which have highlighted the vital role of UBDs in cellular homeostasis. Importantly, functional impairment of UBDs in key regulatory pathways has been related to the development of pathophysiological conditions, including immune disorders and cancer. In this review, we present an up-to-date account of the crucial role of UBDs and their functions, with a special emphasis on their functional impairment in key biological pathways and the pathogenesis of several human diseases. The still under-investigated topic of Ub-UBD interactions as a target for developing novel therapeutic strategies against many diseases is also discussed.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".