Modular basis for potent SARS-CoV-2 neutralization by a prevalent VH1-2-derived antibody class
By
Micah Rapp,
Yicheng Guo,
Eswar Reddy Reddem,
Lihong Liu,
Pengfei Wang,
Jian Yu,
Gabriele Cerutti,
Jude Bimela,
Fabiana Bahna,
Seetha Mannepalli,
Baoshan Zhang,
Peter D. Kwong,
David D Ho,
Lawrence Shapiro,
Zizhang Sheng
Posted 11 Jan 2021
bioRxiv DOI: 10.1101/2021.01.11.426218
Antibodies with heavy chains that derive from the VH1-2 gene constitute some of the most potent SARS-CoV-2-neutralizing antibodies yet identified. To provide insight into whether these genetic similarities inform common modes of recognition, we determined structures of the SARS-CoV-2 spike in complex with three VH1-2-derived antibodies: 2-15, 2-43, and H4. All three utilized VH1-2-encoded motifs to recognize the receptor-binding domain (RBD), with heavy chain N53I enhancing binding and light chain tyrosines recognizing F486RBD. Despite these similarities, class members bound both RBD up and down conformations of the spike, with a subset of antibodies utilizing elongated CDRH3s to recognize glycan N343 on a neighboring RBD - a quaternary interaction accommodated by an increase in RBD separation of up to 12 angstrom. The VH1-2-antibody class thus utilizes modular recognition encoded by modular genetic elements to effect potent neutralization, with VH-gene component specifying recognition of RBD and CDRH3 component specifying quaternary interactions.
Download data
- Downloaded 251 times
- Download rankings, all-time:
- Site-wide: 90,077
- In immunology: 2,473
- Year to date:
- Site-wide: 2,828
- Since beginning of last month:
- Site-wide: 2,828
Altmetric data
Distribution of downloads per paper, site-wide
PanLingua
News
- 27 Nov 2020: The website and API now include results pulled from medRxiv as well as bioRxiv.
- 18 Dec 2019: We're pleased to announce PanLingua, a new tool that enables you to search for machine-translated bioRxiv preprints using more than 100 different languages.
- 21 May 2019: PLOS Biology has published a community page about Rxivist.org and its design.
- 10 May 2019: The paper analyzing the Rxivist dataset has been published at eLife.
- 1 Mar 2019: We now have summary statistics about bioRxiv downloads and submissions.
- 8 Feb 2019: Data from Altmetric is now available on the Rxivist details page for every preprint. Look for the "donut" under the download metrics.
- 30 Jan 2019: preLights has featured the Rxivist preprint and written about our findings.
- 22 Jan 2019: Nature just published an article about Rxivist and our data.
- 13 Jan 2019: The Rxivist preprint is live!