Antibody Recognition of the Pandemic H1N1 Influenza Virus Hemagglutinin Receptor Binding Site
Bibliographic record
Abstract
Influenza virus is a global health concern due to its unpredictable pandemic potential. This potential threat was realized in 2009 when an H1N1 virus emerged that resembled the 1918 virus in antigenicity but fortunately was not nearly as deadly. 5J8 is a human antibody that potently neutralizes a broad spectrum of H1N1 viruses, including the 1918 and 2009 pandemic viruses. Here, we present the crystal structure of 5J8 Fab in complex with a bacterially expressed and refolded globular head domain from the hemagglutinin (HA) of the A/California/07/2009 (H1N1) pandemic virus. 5J8 recognizes a conserved epitope in and around the receptor binding site (RBS), and its HCDR3 closely mimics interactions of the sialic acid receptor. Electron microscopy (EM) reconstructions of 5J8 Fab in complex with an HA trimer from a 1986 H1 strain and with an engineered stabilized HA trimer from the 2009 H1 pandemic virus showed a similar mode of binding. As for other characterized RBS-targeted antibodies, 5J8 uses avidity to extend its breadth and affinity against divergent H1 strains. 5J8 selectively interacts with HA insertion residue 133a, which is conserved in pandemic H1 strains and has precluded binding of other RBS-targeted antibodies. Thus, the RBS of divergent HAs is targeted by 5J8 and adds to the growing arsenal of common recognition motifs for design of therapeutics and vaccines. Moreover, consistent with previous studies, the bacterially expressed H1 HA properly refolds, retaining its antigenic structure, and presents a low-cost and rapid alternative for engineering and manufacturing candidate flu vaccines.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 0.001 |
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".