Quantifying the binding stoichiometry and affinity of histo-blood group antigen oligosaccharides for human noroviruses
Bibliographic record
Abstract
Human noroviruses (HuNoVs) are a major cause of acute gastroenteritis. Many HuNoVs recognize histo-blood group antigens (HBGAs) as cellular receptors or attachment factors for infection. It was recently proposed that HuNoV recognition of HBGAs involves a cooperative, multistep binding mechanism that exploits both known and previously unknown glycan binding sites. In this study, binding measurements, implemented using electrospray ionization mass spectrometry (ESI-MS) were performed on homodimers of the protruding domain (P dimers) of the capsid protein of three HuNoV strains [Saga (GII.4), Vietnam 026 (GII.10) and VA387 (GII.4)] with the ethyl glycoside of the B trisaccharide (α-d-Gal-(1→3)-[α-l-Fuc-(1→2)]-β-d-Gal-OC2H5) and free B type 1 tetrasaccharide (α-d-Gal-(1→3)-[α-l-Fuc-(1→2)]-β-d-Gal-(1→3)-d-GlcNAc) in an effort to confirm the existence of new HBGA binding sites. After correcting the mass spectra for nonspecific interactions that form in ESI droplets as they evaporate to dryness, all three P dimers were found to bind a maximum of two B trisaccharides at the highest concentrations investigated. The apparent affinities measured for stepwise binding of B trisaccharide suggest positive cooperativity. Similar results were obtained for B type 1 tetrasaccharide binding to Saga P dimer. Based on these results, it is proposed that HuNoV P dimers possess only two HBGA binding sites. It is also shown that nonspecific binding corrections applied to mass spectra acquired using energetic ion source conditions that promote in-source dissociation can lead to apparent HuNoV-HBGA oligosaccharide binding stoichiometries and affinities that are artificially high. Finally, evidence that high concentrations of oligosaccharide can induce conformational changes in HuNoV P dimers is presented.
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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 | 0.001 |
| 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 | 0.001 |
| 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".