The Papain-Like Protease from the Severe Acute Respiratory Syndrome Coronavirus Is a Deubiquitinating Enzyme
Bibliographic record
Abstract
The severe acute respiratory syndrome coronavirus papain-like protease (SARS-CoV PLpro) is involved in the processing of the viral polyprotein and, thereby, contributes to the biogenesis of the virus replication complex. Structural bioinformatics has revealed a relationship for the SARS-CoV PLpro to herpesvirus-associated ubiquitin-specific protease (HAUSP), a ubiquitin-specific protease, indicating potential deubiquitinating activity in addition to its function in polyprotein processing (T. Sulea, H. A. Lindner, E. O. Purisima, and R. Menard, J. Virol. 79:4550-4551, 2005). In order to confirm this prediction, we overexpressed and purified SARS-CoV PLpro (amino acids [aa]1507 to 1858) from Escherichia coli. The purified enzyme hydrolyzed ubiquitin-7-amino-4-methylcoumarin (Ub-AMC), a general deubiquitinating enzyme substrate, with a catalytic efficiency of 13,100 M(-1)s(-1), 220-fold more efficiently than the small synthetic peptide substrate Z-LRGG-AMC, which incorporates the C-terminal four residues of ubiquitin. In addition, SARS-CoV PLpro was inhibited by the specific deubiquitinating enzyme inhibitor ubiquitin aldehyde, with an inhibition constant of 210 nM. The purified SARS-CoV PLpro disassembles branched polyubiquitin chains with lengths of two to seven (Ub2-7) or four (Ub4) units, which involves isopeptide bond cleavage. SARS-CoV PLpro processing activity was also detected against a protein fused to the C terminus of the ubiquitin-like modifier ISG15, both in vitro using the purified enzyme and in HeLa cells by coexpression with SARS-CoV PLpro (aa 1198 to 2009). These results clearly establish that SARS-CoV PLpro is a deubiquitinating enzyme, thereby confirming our earlier prediction. This unexpected activity for a coronavirus papain-like protease suggests a novel viral strategy to modulate the host cell ubiquitination machinery to its advantage.
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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) | 0.000 | 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".