Reduced neutralization of SARS-CoV-2 B.1.1.7 variant from naturally acquired and vaccine induced antibody immunity
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The affinity of B.1.351 RBD for soluble ACE2 is 19-fold higher than for Victoria RBD and 2.7-fold higher than for B.1.1.7 RBD.
“As expected, the affinity for B.1.351 RBD is high; in fact, it is 19-fold higher than for the Victoria RBD and 2.7-fold higher than for B.1.1.7 ((Dejnirattisai et al., 2021); Supasa et al., 2021).”
From Evidence of escape of SARS-CoV-2 variant B.1.351 from natural and vaccine-induced sera (2021) · cites this paper as Supasa et al., 2021
The B.1.1.7 mutations increase the affinity of the RBD for ACE2 2.7-fold.
“These mutations increase the affinity of the RBD for ACE2 2.7-fold for B.1.1.7 (Supasa et al., 2021) and 19-fold for B.1.351”
From Evidence of escape of SARS-CoV-2 variant B.1.351 from natural and vaccine-induced sera (2021) · cites this paper as Supasa et al., 2021
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Evidence of escape of SARS-CoV-2 variant B.1.351 from natural and vaccine-induced sera
Zhou, D., Dejnirattisai, W., Supasa, P., Liu, C., Mentzer, A. J., Ginn, H. M., Zhao, Y., Duyvesteyn, H. M. E., Tuekprakhon, A., Nutalai, R., et al. (2021) · Cell · doi:10.1016/j.cell.2021.02.037 · Cited by 992 · see citing works
Self-citation
- Authors
- Supasa, P., Zhou, D., Dejnirattisai, W., Liu, C., Mentzer, A. J., Ginn, H. M., Zhao, Y., Duyvesteyn, H. M., Nutalai, R., Tuekprakhon, A., Wang, B., Paesen, G. C., Slon-Campos, J., Lopez-Camacho, C., Hallis, B., Coombes, N., Bewley, K., Charlton, S., Walter, T. S., Barnes, E., Dunachie, S., Skelly, D., Lumley, S., Baker, N., Shaik, I., Humphries, H., Godwin, K., Gent, N., Sienkiewicz, A., Dold, C., Levin, R., Dong, T., Pollard, A., Knight, J., Klenerman, P., Crook, D. W., Lambe, T., Clutterbuck, E., Bibi, S., Flaxman, A., Bittaye, M., Belij-rammerstorfer, S., Gilbert, S. C., Hall, D. R., Williams, M. A., Paterson, N. G., James, W., Carroll, M. W., Fry, E. E., Mongkolspaya, J., Ren, J., Stuart, D. I., & Screaton, G. R.
- ORCID
- Supasa, Piyada
- Zhou, Daming
- Dejnirattisai, Wanwisa
- Liu, Chang
- Mentzer, Alexander J.
- Ginn, Helen M.
- Zhao, Yuguang
- Duyvesteyn, Helen ME
- Nutalai, Rungtiwa
- Tuekprakhon, Aekkachai
- Wang, Beibei
- Paesen, Guido C.
- Slon-Campos, Jose
- Hallis, Bassam
- Coombes, Naomi
- Bewley, Kevin
- Charlton, Sue
- Walter, Thomas S.
- Barnes, Eleanor
- Dunachie, Susanna
- Skelly, Donal
- Lumley, Sheila
- Baker, Natalie
- Humphries, Holly
- Gent, Nick
- Dold, Christina
- Dong, Tao
- Pollard, Andrew
- Knight, Julian
- Klenerman, Paul
- Crook, Derrick W.
- Lambe, Teresa
- Clutterbuck, Elizabeth
- Bibi, Sagida
- Flaxman, Amy
- Bittaye, Mustapha
- Gilbert, Sarah C.
- Hall, David R.
- Williams, Mark A.
- Paterson, Neil G.
- James, William
- Carroll, Miles W.
- Fry, Elizabeth E.
- Ren, Jingshan
- Stuart, David I.
- Screaton, Gavin R.
- Venue
- SSRN Electronic Journal
- Publisher
- Elsevier BV
- Published
- 2021
- ISSN
- 1556-5068 (ISSN-L)
- OpenAlex
- W3126756482
- Cited by
- 2
- References
- 0
- Citations by year
- 2021: 2
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Locations
- SSRN Electronic Journal (publishedVersion)
- Topics
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Animal Virus Infections Studies
- Keywords
- SARS-CoV-2, B.1.1.7 variant, Omicron variant, antibody neutralization, vaccine-induced immunity, naturally acquired immunity, neutralizing antibodies, COVID-19 vaccines
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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