Implication of the proprotein convertases furin, PC5 and PC7 in the cleavage of surface glycoproteins of Hong Kong, Ebola and respiratory syncytial viruses: a comparative analysis with fluorogenic peptides
Bibliographic record
Abstract
Fluorogenic peptides encompassing the processing sites of envelope glycoproteins of the infectious influenza A Hong Kong virus (HKV), Ebola virus (EBOV) and respiratory syncytial virus (RSV) were tested for cleavage by soluble recombinants of the proprotein convertases furin, PC5 and PC7. Kinetic studies with these intramolecularly quenched fluorogenic peptides revealed selective cleavages at the physiological dibasic sites. The HKV peptide is cleaved by both furin and PC5 with similar efficacy; in comparison, PC7 cleaves this substrate poorly. In contrast with the basic tetrapeptide insertion within the haemagglutinin sequence of HKV, two other dipeptide insertions revealed a poorer cleavage with a similar rank order of potency. These results demonstrate that the N-terminal RERR insertion to the wild-type avian RKKR downward arrow sequence is functionally significant, and suggest that the approx. 5-fold increase in cleavage efficacy contributes to the high infectivity of the H5N1 virus subtype. With regard to RSV peptide processing, PC7 is twice as effective as PC5 and furin. The EBOV peptide was processed with similar efficiency by the three enzymes. Our observations that all of these cleavages can be effectively inhibited by a plant andrographolide derivative at 250 microM or less might aid in the design of potent convertase inhibitors as alternative antiviral therapies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 teacher head, 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".