Structural basis for a potent human neutralizing antibody targeting a conserved epitope on the H7 hemagglutinin head
Bibliographic record
Abstract
Zoonotic H7N9 avian influenza virus infection remains a global concern because of its pandemic potential. Therefore, developing effective antibodies and vaccines against H7N9 is vital for preventing and controlling major outbreaks. Here, we isolated a human VH3-30 gene-encoded antibody, designated 6Y13, from a survivor of H7N9 infection. This antibody recognized the hemagglutinins (HAs) of the representative H7 subtype zoonotic viruses spanning two decades of antigenic evolution and potently neutralized epidemic H7N9 viruses in vitro. Moreover, 6Y13 conferred complete protection in mice against lethal H7N9 challenge in both prophylactic and therapeutic experiments. Structural analysis by cryoelectron microscopy indicated that 6Y13 binds to a unique conserved site on the HA head, distinct from the receptor-binding site and lateral patch. Nevertheless, 6Y13 efficiently blocked viral receptor binding without interfering with HA receptor binding, independent of Fc-mediated steric hindrance. Our findings provide a promising therapeutic candidate against pan-H7 subtype viruses and are beneficial for the design of H7 subtype influenza vaccine immunogens.
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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".