Z-FA-FMK as a novel potent inhibitor of reovirus pathogenesis and oncolysis <i>in vivo</i>
Bibliographic record
Abstract
BACKGROUND: Respiratory enteric orphan (reo)virus is a promising oncolytic viral candidate. Reoviral anticancer therapy is currently undergoing multiple clinical trials targeting various human cancers; however, there is no effective reoviral inhibitor that can be used to block unwanted reovirus replication during reoviral anticancer therapy. METHODS: Studies were conducted with transformed or normal cells in vitro and in vivo to characterize viral replication in the presence or absence of chemical inhibitors. RESULTS: We have identified a protease inhibitor that is very effective in the inhibition of viral replication. The dipeptide benzyloxycarbonyl-Phe-Ala-fluoromethyl ketone (Z-FA-FMK) effectively inhibited reovirus replication in a susceptible host and cured cells of a persistent infection with reovirus in vitro. Electron microscopic analysis of Z-FA-FMK-treated cells revealed that internalized reovirus virions, retained in a perinuclear localization, no longer undergo further processing into viral factories following Z-FA-FMK treatment, suggesting that Z-FA-FMK specifically affects a reovirus virion maturation step. Animal studies showed that reovirus infection of Ras oncogenic tumours and host heart tissues is completely blocked by Z-FA-FMK treatment in severe combined immunodeficiency mice. CONCLUSIONS: Z-FA-FMK is a very effective viral inhibitor that can prevent reovirus replication in vitro and reovirus-mediated myocarditis, as well as reovirus-mediated oncolysis, in vivo. A potential application of this drug for inhibition of reovirus infection is suggested.
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) | 0.001 | 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".