SARS-CoV-2 S protein harbors furin cleavage site located in a short loop between antiparallel β-strand
Bibliographic record
Abstract
Furin cleavage site (FCS) of the SARS-CoV-2 S protein, which connects the S1/S2 junction, is essential for facilitating fusion with the host cells. Wild-type (Wt) SARS-CoV-2 S protein, PDB ID: 6yvb, lacks a sequence of amino acid residues, including the FCS that links the S1/S2 junction. For the first time, we demonstrated that a stretch of 14 amino acid residues (677QTNSPRRARSVASQ689) forms an antiparallel β-sheet comprising of PRRAR sequence in the FCS within a short loop. Upon comparing the loop content of the S1/S2 junction with that of Wt SARS-CoV-2 containing PRRAR in the FCS, we observed a decrease in antiparallel β-sheet content and an increase in loop content in the B.1.1.7 variant with HRRAR in the FCS. This short loop within antiparallel β-sheet can serve as a docking site for various proteases, including TMPRSS2 and α1AT. We performed a 300-ns simulation of the SARS-CoV-2 receptor binding domain (RBD) using several antibacterial and antiviral ligands commonly used to treat various infections. Our findings indicate that the receptor binding domain (RBD) comprising the receptor binding motif (RBM) utilizes β6 and a significant portion of the loop to bind with ligands, suggesting its potential for treating SARS-CoV-2 infections.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".