Crystal Structure of the Middle East Respiratory Syndrome Coronavirus (MERS-CoV) Papain-like Protease Bound to Ubiquitin Facilitates Targeted Disruption of Deubiquitinating Activity to Demonstrate Its Role in Innate Immune Suppression
Bibliographic record
Abstract
Middle East respiratory syndrome coronavirus (MERS-CoV) is a newly emerging human pathogen that was first isolated in 2012. MERS-CoV replication depends in part on a virus-encoded papain-like protease (PL(pro)) that cleaves the viral replicase polyproteins at three sites releasing non-structural protein 1 (nsp1), nsp2, and nsp3. In addition to this replicative function, MERS-CoV PL(pro) was recently shown to be a deubiquitinating enzyme (DUB) and to possess deISGylating activity, as previously reported for other coronaviral PL(pro) domains, including that of severe acute respiratory syndrome coronavirus. These activities have been suggested to suppress host antiviral responses during infection. To understand the molecular basis for ubiquitin (Ub) recognition and deconjugation by MERS-CoV PL(pro), we determined its crystal structure in complex with Ub. Guided by this structure, mutations were introduced into PL(pro) to specifically disrupt Ub binding without affecting viral polyprotein cleavage, as determined using an in trans nsp3↓4 cleavage assay. Having developed a strategy to selectively disable PL(pro) DUB activity, we were able to specifically examine the effects of this activity on the innate immune response. Whereas the wild-type PL(pro) domain was found to suppress IFN-β promoter activation, PL(pro) variants specifically lacking DUB activity were no longer able to do so. These findings directly implicate the DUB function of PL(pro), and not its proteolytic activity per se, in the inhibition of IFN-β promoter activity. The ability to decouple the DUB activity of PL(pro) from its role in viral polyprotein processing now provides an approach to further dissect the role(s) of PL(pro) as a viral DUB during MERS-CoV infection.
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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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".