NMR Studies of Carbohydrates and Carbohydrate-mimetic Peptides Recognized by an Anti-Group B Streptococcus Antibody
Bibliographic record
Abstract
As part of a program to investigate the origins of peptide-carbohydrate mimicry, the conformational preferences of peptides that mimic the group B streptococcal type III capsular polysaccharide have been investigated by NMR spectroscopy. Detailed studies of a dodecapeptide, FDTGAFDPDWPA, a molecular mimic of the polysaccharide antigen, and two new analogs, indicated a propensity for beta-turn formation. Different beta-turn types were found to be present in the trans and cis (Trp-10-Pro-11) isomers of the peptide: the trans isomer favored a type I beta-turn from residues Asp-7-Trp-10, whereas the cis isomer exhibited a type VI beta-turn from residues Asp-9-Ala-12. The interaction of the dodecapeptide FDTGAFDPDWPA with a protective anti-group B Streptococcus monoclonal antibody has also been investigated, by transferred nuclear Overhauser effect NMR spectroscopy and saturation-transfer difference NMR spectroscopy (STD-NMR). The peptide was found to adopt a type I beta-turn conformation on binding to the antibody; the peptide residues (Asp-7-Trp-10) forming this turn are recognized by the antibody, as demonstrated by STD-NMR experiments. STD-NMR studies of the interactions of oligosaccharide fragments of the capsular polysaccharide have also been performed and provide evidence for the existence of a conformational epitope.
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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) | 0.001 | 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".