A noncompeting pair of human neutralizing antibodies block COVID-19 virus binding to its receptor ACE2.
Science
; 368(6496): 1274-1278, 2020 06 12.
Article
in English
| MEDLINE | ID: covidwho-260594
Preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
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This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
See preprint
ABSTRACT
Neutralizing antibodies could potentially be used as antivirals against the coronavirus disease 2019 (COVID-19) pandemic. Here, we report isolation of four human-origin monoclonal antibodies from a convalescent patient, all of which display neutralization abilities. The antibodies B38 and H4 block binding between the spike glycoprotein receptor binding domain (RBD) of the virus and the cellular receptor angiotensin-converting enzyme 2 (ACE2). A competition assay indicated different epitopes on the RBD for these two antibodies, making them a potentially promising virus-targeting monoclonal antibody pair for avoiding immune escape in future clinical applications. Moreover, a therapeutic study in a mouse model validated that these antibodies can reduce virus titers in infected lungs. The RBD-B38 complex structure revealed that most residues on the epitope overlap with the RBD-ACE2 binding interface, explaining the blocking effect and neutralizing capacity. Our results highlight the promise of antibody-based therapeutics and provide a structural basis for rational vaccine design.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Pneumonia, Viral
/
Receptors, Virus
/
Coronavirus Infections
/
Peptidyl-Dipeptidase A
/
Antibodies, Neutralizing
/
Spike Glycoprotein, Coronavirus
/
Antibodies, Viral
Type of study:
Prognostic study
Topics:
Vaccines
Limits:
Animals
/
Humans
Language:
English
Journal:
Science
Year:
2020
Document Type:
Article
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