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Deep mutational engineering of broadly-neutralizing nanobodies accommodating SARS-CoV-1 and 2 antigenic drift
- Source :
- mAbs, mAbs, 2022, 14 (1), pp.2076775. ⟨10.1080/19420862.2022.2076775⟩
- Publication Year :
- 2022
-
Abstract
- International audience; Here, we report the molecular engineering of nanobodies that bind with picomolar affinity to both SARS-CoV-1 and SARS-CoV-2 receptor-binding domains (RBD) and are highly neutralizing. We applied deep mutational engineering to VHH72, a nanobody initially specific for SARS-CoV-1 RBD with little cross-reactivity to SARS-CoV-2 antigen. We first identified all the individual VHH substitutions that increase binding to SARS-CoV-2 RBD and then screened highly focused combinatorial libraries to isolate engineered nanobodies with improved properties. The corresponding VHH-Fc molecules show high affinities for SARS-CoV-2 antigens from various emerging variants and SARS-CoV-1, block the interaction between ACE2 and RBD, and neutralize the virus with high efficiency. Its rare specificity across sarbecovirus relies on its peculiar epitope outside the immunodominant regions. The engineered nanobodies share a common motif of three amino acids, which contribute to the broad specificity of recognition. Our results show that deep mutational engineering is a very powerful method, especially to rapidly adapt existing antibodies to new variants of pathogens.
- Subjects :
- [SDV.BIO]Life Sciences [q-bio]/Biotechnology
yeast surface display
SARS-CoV-2
[SDV]Life Sciences [q-bio]
Immunology
Antibody engineering
COVID-19
Single-Domain Antibodies
Antibodies, Viral
Antibodies, Neutralizing
nanobodies
deep mutational scanning
Spike Glycoprotein, Coronavirus
Immunology and Allergy
Humans
[SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology
Antigenic Drift and Shift
ComputingMilieux_MISCELLANEOUS
Protein Binding
Subjects
Details
- ISSN :
- 19420870 and 19420862
- Volume :
- 14
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- mAbs
- Accession number :
- edsair.doi.dedup.....2d9ebadc87d4212f6b76bc5a203060d5
- Full Text :
- https://doi.org/10.1080/19420862.2022.2076775⟩