Evidence map›Paper›PMID 32577642›Full record

ArticlebioRxiv : the preprint server for biology2020

Structural basis of a public antibody response to SARS-CoV-2.

Meng Yuan, Hejun Liu, Nicholas C Wu, Chang-Chun D Lee, Xueyong Zhu, Fangzhu Zhao, Deli Huang, Wenli Yu, Yuanzi Hua, Henry Tien and 6 more

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 25 citations in OpenAlex.

  1. Passive antibody therapy in COVID-19.Nature reviews. Immunology · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 1 institution in 1 country.

Meng YuanDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.
Hejun LiuDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.
Nicholas C WuDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.
Chang-Chun D LeeDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.
Xueyong ZhuDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.
Fangzhu ZhaoDepartment of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA.
Deli HuangDepartment of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA.
Wenli YuDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.
Yuanzi HuaDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.
Henry TienDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.
Thomas F RogersDepartment of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA.
Elise LandaisDepartment of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA.
Devin SokIAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA.
Joseph G JardineIAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA.
Dennis R BurtonDepartment of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA.
Ian A WilsonDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.
Scripps Research Institute · US

Funding

X-ray Absorption Spectroscopy (XAS) pp.711-759P41GM103393 · NIGMS · STANFORD UNIVERSITY · PI HODGSON, KEITH O · 2012 to 2019
$30.6M
Mechanistic understanding of influenza-host interactions from a zoonotic perspectiveK99AI139445 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI WU, NICHOLAS C. · 2019 to 2020
$132k
NIAID NIH HHS K99 AI139445NIGMS NIH HHS P41 GM103393
6 · The paper itself

Abstract

Molecular-level understanding of human neutralizing antibody responses to SARS-CoV-2 could accelerate vaccine design and facilitate drug discovery. We analyzed 294 SARS-CoV-2 antibodies and found that IGHV3-53 is the most frequently used IGHV gene for targeting the receptor binding domain (RBD) of the spike (S) protein. We determined crystal structures of two IGHV3-53 neutralizing antibodies +/- Fab CR3022 ranging from 2.33 to 3.11 Å resolution. The germline-encoded residues of IGHV3-53 dominate binding to the ACE2 binding site epitope with no overlap with the CR3022 epitope. Moreover, IGHV3-53 is used in combination with a very short CDR H3 and different light chains. Overall, IGHV3-53 represents a versatile public VH in neutralizing SARS-CoV-2 antibodies, where their specific germline features and minimal affinity maturation provide important insights for vaccine design and assessing outcomes.

Identifiers

PMID32577642
PMCPMC7302194
OpenAlexW3035291638

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.