Host E3 ligase Hrd1 ubiquitinates and degrades H protein of canine distemper virus to inhibit viral replication
Bibliographic record
Abstract
Canine distemper (CD) is a highly contagious and an acutely febrile disease caused by canine distemper virus (CDV), which greatly threatens the dog and fur industry in many countries. Endoplasmic reticulum (ER)-associated degradation (ERAD) is a protein quality control system for the degradation of misfolded proteins in the ER. In this study, a proteomic approach was performed, and results found the E3 ubiquitin ligase 3-hydroxy-3-methylglutaryl reductase degradation protein 1 (Hrd1), which is involved in ERAD, as one of the CDV H-interacting proteins. The interaction of Hrd1 with CDV H protein was further identified by Co-IP assay and confocal microscopy. Hrd1 degraded the CDV H protein via the proteasome pathway dependent on its E3 ubiquitin ligase activity. Hrd1 catalyzed the K63-linked polyubiquitination of CDV H protein at lysine residue 115 (K115). Hrd1 also exhibited a significant inhibitory effect on CDV replication. Together, the data demonstrate that the E3 ligase Hrd1 mediates the ubiquitination of CDV H protein for degradation via the proteasome pathway and inhibits CDV replication. Thus, targeting Hrd1 may represent a novel prevention and control strategy for CDV infection.
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) | 0.000 | 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) | 0.001 | 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".