Secreted Glycoprotein from Live Zaire ebolavirus—Infected Cultures: Preparation, Structural and Biophysical Characterization, and Thermodynamic Stability
Bibliographic record
Abstract
Milligram quantities of Zaire ebolavirus nonstructural, secreted glycoprotein (sGP) were purified to homogeneity, and this preparation was characterized by an array of biophysical and biochemical experiments. Mass-spectrometry analysis revealed sGP posttranslational modifications and regions susceptible to limited proteolysis. In solution, sGP has an absolute molar mass of 103 kDa, is monodisperse, and folds into a predominantly beta -sheet conformation with a distinct tertiary structure. sGP appears to have a unique free-energy landscape that facilitates reversible folding and a strong propensity for disulfide-linked dimeric quaternary structure under a wide range of conditions; the low apparent free energy of conformation transition of sGP ( Delta G=1.7+/-0.1 kcal/mol) suggests that the molecule is well suited as a thermodynamically facile switch, which would allow it to report on relatively subtle changes in milieu. In addition, a conformational transition at 37 degrees C was detected in thermal denaturing experiments. On the basis of biophysical and biochemical considerations alone, we propose that the property of being a thermodynamically facile switch is an important clue to reveal sGP functionality.
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 | 0.001 |
| 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".