Two ZnF-UBP Domains in Isopeptidase T (USP5)
Bibliographic record
Abstract
Human ubiquitin-specific cysteine protease 5 (USP5, also known as ISOT and isopeptidase T), an 835-residue multidomain enzyme, recycles ubiquitin by hydrolyzing isopeptide bonds in a variety of unanchored polyubiquitin substrates. Activation of the enzyme's hydrolytic activity toward ubiquitin-AMC (7-amino-4-methylcoumarin), a fluorogenic substrate, by the addition of free, unanchored monoubiquitin suggested an allosteric mechanism of activation by the ZnF-UBP domain (residues 163-291), which binds the substrate's unanchored diglycine carboxyl tail. By determining the structure of full-length USP5, we discovered the existence of a cryptic ZnF-UBP domain (residues 1-156), which was tightly bound to the catalytic core and was indispensable for catalytic activity. In contrast, the previously characterized ZnF-UBP domain did not contribute directly to the active site; a paucity of interactions suggested flexibility between these two domains consistent with an ability by the enzyme to hydrolyze a variety of different polyubiquitin chain linkages. Deletion of the known ZnF-UBP domain did not significantly affect rate of hydrolysis of ubiquitin-AMC and suggested that it is likely associated mainly with substrate targeting and specificity. Together, our findings show that USP5 uses multiple ZnF-UBP domains for substrate targeting and core catalytic function.
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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) | 0.000 | 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) | 0.000 | 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".