Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 481

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Cross-neutralization of influenza A viruses mediated by a single antibody loop

Open access
Ekiert, Damian C., Kashyap, Arun K., Steel, John, Rubrum, Adam, Bhabha, Gira, Khayat, Reza, Lee, Jeong Hyun, Dillon, Michael A., O’Neil, Ryann E., Faynboym, Aleksandr M., Horowitz, Michael, Horowitz, Lawrence, Ward, Andrew B., Palese, Peter, Webby, Richard, Lerner, Richard A., Bhatt, Ramesh R., Wilson, Ian A.·2012·Nature

Abstract

Immune recognition of protein antigens relies on the combined interaction of multiple antibody loops, which provide a fairly large footprint and constrain the size and shape of protein surfaces that can be targeted. Single protein loops can mediate extremely high-affinity binding, but it is unclear whether such a mechanism is available to antibodies. Here we report the isolation and characterization of an antibody called C05, which neutralizes strains from multiple subtypes of influenza A virus, including H1, H2 and H3. X-ray and electron microscopy structures show that C05 recognizes conserved elements of the receptor-binding site on the haemagglutinin surface glycoprotein. Recognition of the haemagglutinin receptor-binding site is dominated by a single heavy-chain complementarity-determining region 3 loop, with minor contacts from heavy-chain complementarity-determining region 1, and is sufficient to achieve nanomolar binding with a minimal footprint. Thus, binding predominantly with a single loop can allow antibodies to target small, conserved functional sites on otherwise hypervariable antigens.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/nature11414

Cites

8 of 8 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 481

Metadata

Authors
Ekiert, D. C., Kashyap, A. K., Steel, J., Rubrum, A., Bhabha, G., Khayat, R., Lee, J. H., Dillon, M. A., O’Neil, R. E., Faynboym, A. M., Horowitz, M., Horowitz, L., Ward, A. B., Palese, P., Webby, R., Lerner, R. A., Bhatt, R. R., & Wilson, I. A.
Venue
Nature
Published
2012-09
Volume
489
Issue
7417
Pages
526-532
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2077219861
Cited by
481
References
8
FWCI
24.77
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.