Structure‐Function Analysis of the Soluble Glycoprotein, sGP, of Ebola Virus
Bibliographic record
Abstract
In addition to the transmembrane protein, GP(1,2), the Ebola virus glycoprotein gene encodes the soluble glycoproteins sGP and Delta-peptide. Two more soluble proteins, GP(1) and GP(1,2DeltaTM), are generated from GP(1,2) as a result of disulfide-bond instability and proteolytic cleavage, respectively, and are shed from the surface of infected cells. The sGP glycoprotein is secreted as a disulfide-linked homodimer, but there have been conflicting reports on whether it is arranged in a parallel or antiparallel orientation. Off-line HPLC-MALDI-TOF MS (MS/MS) was used to identify the arrangement of all disulfide bonds and simultaneously determine site-specific information regarding N-glycosylation. Our data prove that sGP is a parallel homodimer that contains C53-C53' and C306-C306' disulfide bonds, and although there are six predicted N-linked carbohydrate sites, only five are consistently glycosylated. The disulfide bond arrangement was confirmed by using cysteine to glycine mutations at amino acid positions 53 and 306. The mutants had a reduced ability to rescue the barrier function of TNF-alpha-treated endothelial cells--a function previously reported for sGP. This indicates that these disulfide bonds are critical for the proposed anti-inflammatory function of sGP.
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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 | 0.000 |
| 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 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".