Back

A non-competing pair of human neutralizing antibodies block COVID-19 virus binding to its receptor ACE2

Wu, Y.; Wang, F.; Shen, C.; Peng, W.; Li, D.; Zhao, C.; Li, Z.; Li, S.; Bi, Y.; Yang, Y.; Gong, Y.; Xiao, H.; Fan, Z.; Tan, S.; Wu, G.; Tan, W.; Lu, X.; Fan, C.; Wang, Q.; Liu, Y.; Qi, J.; Gao, G. F.; Gao, F.; Liu, L.

2020-05-07 infectious diseases
10.1101/2020.05.01.20077743
Show abstract

Neutralizing antibodies could be antivirals against COVID-19 pandemics. Here, we report the isolation of four human-origin monoclonal antibodies from a convalescent patient in China. All of these isolated antibodies display neutralization abilities in vitro. Two of them (B38 and H4) block the binding between RBD and vial cellular receptor ACE2. Further competition assay indicates that B38 and H4 recognize different epitopes on the RBD, which is ideal for a virus-targeting mAb-pair to avoid immune escape in the future clinical applications. Moreover, therapeutic study on the mouse model validated that these two antibodies can reduce virus titers in the infected mouse lungs. Structure of RBD-B38 complex revealed that most residues on the epitope are overlapped with the RBD-ACE2 binding interface, which explained the blocking efficacy and neutralizing capacity. Our results highlight the promise of antibody-based therapeutics and provide the structural basis of rational vaccine design. One Sentence SummaryA pair of human neutralizing monoclonal antibodies against COVID-19 compete cellular receptor binding but with different epitopes, and with post-exposure viral load reduction activity.

Matching journals

The top 13 journals account for 50% of the predicted probability mass.

1
Nature Communications
based on 483 papers
Top 7%
10.6%
2
Cell Reports
based on 25 papers
Top 0.1%
4.9%
3
Signal Transduction and Targeted Therapy
based on 10 papers
Top 0.1%
4.9%
4
Science
based on 46 papers
Top 1%
4.7%
5
Science Translational Medicine
based on 40 papers
Top 0.9%
3.1%
6
iScience
based on 74 papers
Top 0.8%
3.1%
7
Vaccines
based on 131 papers
Top 2%
3.1%
8
Scientific Reports
based on 701 papers
Top 53%
2.9%
9
PLOS ONE
based on 1737 papers
Top 78%
2.9%
10
Journal of Medical Virology
based on 95 papers
Top 3%
2.9%
11
Cell Reports Medicine
based on 49 papers
Top 1%
2.9%
12
Frontiers in Immunology
based on 140 papers
Top 3%
2.6%
13
eLife
based on 262 papers
Top 10%
2.5%
50% of probability mass above
14
Emerging Microbes & Infections
based on 20 papers
Top 0.3%
1.9%
15
Viruses
based on 79 papers
Top 2%
1.8%
16
Cell
based on 28 papers
Top 1%
1.6%
17
The Journal of Immunology
based on 19 papers
Top 1%
1.4%
18
JCI Insight
based on 63 papers
Top 4%
1.4%
19
Nature
based on 58 papers
Top 6%
1.4%
20
EMBO Molecular Medicine
based on 15 papers
Top 1%
1.3%
21
PLOS Pathogens
based on 35 papers
Top 2%
1.2%
22
Frontiers in Medicine
based on 99 papers
Top 15%
1.2%
23
eBioMedicine
based on 82 papers
Top 6%
0.8%
24
Genomics, Proteomics & Bioinformatics
based on 10 papers
Top 2%
0.8%
25
Gut Microbes
based on 15 papers
Top 1%
0.7%
26
mBio
based on 34 papers
Top 3%
0.7%
27
Journal of Clinical Investigation
based on 50 papers
Top 4%
0.7%
28
Clinical & Translational Immunology
based on 14 papers
Top 1.0%
0.7%
29
Frontiers in Pharmacology
based on 27 papers
Top 5%
0.7%
30
Biosensors and Bioelectronics
based on 13 papers
Top 1.0%
0.7%