The DOI matches its Crossref record; 85 of the 89 references it cites were found in a registry or an index.
Potent SARS-CoV-2 neutralizing antibodies directed against spike N-terminal domain target a single supersite
Open accessPublished version of a preprint
Abstract
Numerous antibodies that neutralize SARS-CoV-2 have been identified, and these generally target either the receptor-binding domain (RBD) or the N-terminal domain (NTD) of the viral spike. While RBD-directed antibodies have been extensively studied, far less is known about NTD-directed antibodies. Here, we report cryo-EM and crystal structures for seven potent NTD-directed neutralizing antibodies in complex with spike or isolated NTD. These structures defined several antibody classes, with at least one observed in multiple convalescent donors. The structures revealed that all seven antibodies target a common surface, bordered by glycans N17, N74, N122, and N149. This site-formed primarily by a mobile β-hairpin and several flexible loops-was highly electropositive, located at the periphery of the spike, and the largest glycan-free surface of NTD facing away from the viral membrane. Thus, in contrast to neutralizing RBD-directed antibodies that recognize multiple non-overlapping epitopes, potent NTD-directed neutralizing antibodies appear to target a single supersite.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Neutralizing mAbs that bind regions of the viral spike have also been identified (24, 33, 38–42).”
From mRNA vaccination boosts cross-variant neutralizing antibodies elicited by SARS-CoV-2 infection (2021) · cites this paper as [40]
In the citing paper
“that would be predicted to disrupt the so-called “super site” on the NTD mediating neutralization (Cerutti et al., 2021; Figure S2)”
From Reduced neutralization of SARS-CoV-2 B.1.617 by vaccine and convalescent serum (2021) · cites this paper as Cerutti et al., 2021
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
UCSF Chimera—A visualization system for exploratory research and analysis
Pettersen, E. F., Goddard, T. D., Huang, C. C., Couch, G. S., Greenblatt, D. M., Meng, E. C., & Ferrin, T. E. (2004) · Journal of Computational Chemistry · doi:10.1002/jcc.20084 · Cited by 46,047
MUSCLE: multiple sequence alignment with high accuracy and high throughput
Edgar, R. C. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh340 · Cited by 44,662
Coot : model-building tools for molecular graphics
Emsley, P., & Cowtan, K. (2004) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444904019158 · Cited by 30,571
PHENIX : a comprehensive Python-based system for macromolecular structure solution
Adams, P. D., Afonine, P. V., Bunkóczi, G., Chen, V. B., Davis, I. W., Echols, N., Headd, J. J., Hung, L.-W., Kapral, G. J., Grosse-Kunstleve, R. W., et al. (2010) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444909052925 · Cited by 23,716
MAFFT: a novel method for rapid multiple sequence alignment based on fast Fourier transform
Katoh, K. (2002) · Nucleic Acids Research · doi:10.1093/nar/gkf436 · Cited by 17,027
SWISS-MODEL: homology modelling of protein structures and complexes
Waterhouse, A. M., Bertoni, M., Bienert, S., Studer, G., Tauriello, G., Gumienny, R., Heer, F. T., de Beer, T., Rempfer, C., Bordoli, L., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky427 · Cited by 13,248
Overview of the CCP 4 suite and current developments
Winn, M. D., Ballard, C. C., Cowtan, K. D., Dodson, E. J., Emsley, P., Evans, P. R., Keegan, R. M., Krissinel, E. B., Leslie, A. G. W., McCoy, A., et al. (2011) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444910045749 · Cited by 12,353
cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination
Punjani, A., Rubinstein, J. L., Fleet, D. J., & Brubaker, M. A. (2017) · Nature Methods · doi:10.1038/nmeth.4169 · Cited by 11,626
An interactive web-based dashboard to track COVID-19 in real time
Dong, E., Du, H., & Gardner, L. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30120-1 · Cited by 10,048
Inference of Macromolecular Assemblies from Crystalline State
Krissinel, E., & Henrick, K. (2007) · Journal of Molecular Biology · doi:10.1016/j.jmb.2007.05.022 · Cited by 10,007
Flagged first, then by citations
4 of the 89 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 501–524 of 524
Dussupt, V., Jensen, J. L., Thomas, P. V., Mendez-Rivera, L., Lal, K. G., Zemil, M., Swafford, I., Hernandez, J., Sankhala, R. S., Rao, M., et al. (2025) · mBio · doi:10.1128/mbio.01036-25
Self-citationpH-induced structural changes in SARS-CoV-2 spike variantsPreprint
Oliveira, A. S. F., Tulli, L., Kearns, F. L., Casalino, L., Rosenfeld, M. A., Berger, I., Schaffitzel, C., Davidson, A. D., Haddrell, A. E., Reid, J. P., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.11.17.688702 · Cited by 1
Valdez‐Cruz, N. A., García-Hernández, E., Espitia, C., Cobos-Marín, L., Altamirano, C., Bando-Campos, C. G., Cofas‐Vargas, L. F., Coronado-Aceves, E. W., González-Hernández, R. A., Hernández‐Peralta, P., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14471586
Oliveira, M. M., Schemberger, M. O., Suzukawa, A. A., Riediger, I. N., Debur, M. D. C., Becker, G., Resende, P. C., Gräf, T., Balsanelli, E., Baura, V. A., et al. (2021) · Figshare · doi:10.6084/m9.figshare.17037420
Yeo, J., Yun, M.-R., Kim, S.-Y., Seok, J.-H., Jeon, J. H., Lee, T., Kim, J., Kim, K., Park, M., Kim, D., et al. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1718740
Martínez-Guevara, J. L., Lai, T. Y., Mishra, M., Slamanig, S., González‐Domínguez, I., Abdeljawad, A., Hoang, M. T., Singh, G., Kowdle, S., Benhur, L., et al. (2026) · Vaccines · doi:10.3390/vaccines14020138
Stebliankin, V., Chellappan, R., Baral, P., Balbin, C. A., Nunez-Castilla, J., Sobhan, M., Cickovski, T., Riegler, A. N., Mondal, A. M., Siltberg-Liberles, J., et al. (2026) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2026.01.011 · Cited by 6
Jaiswal, D., Altomare, C. G., Adelsberg, D. C., Sapse, I. A., Krammer, F., Simon, V. R., Ellebedy, A. H., & Bajic, G. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.03.03.709398
Depierreux, D. M., Ruiz, F., Lilly, M., Guenthoer, J., Chohan, V., & Overbaugh, J. (2026) · PLoS Pathogens · doi:10.1371/journal.ppat.1014026
Conservation of Bacterial Lipopolysaccharide Binding by SARS-CoV-2 Spike across Major Viral Variants
Samsudin, F., Petruk, G., Rui, L., Schmidtchen, A., & Bond, P. J. (2026) · Computational and Structural Biotechnology Journal · doi:10.34133/csbj.0040
Contrasting effects of SARS-CoV-2 vaccination vs. infection on antibody and TCR repertoires
Braun, J., Hill, E. D., Contreras, E., Yasuda, M., Morgan, A., Ditelberg, S., Winter, E., Callahan, C. J., Mazzoni, G., Kirmaier, A., et al. (2026) · PLoS ONE · doi:10.1371/journal.pone.0343939 · Cited by 1
Jaiswal, D., Altomare, C. G., Adelsberg, D. C., Sapse, I. A., Krammer, F., Simon, V. R., Ellebedy, A. H., & Bajic, G. (2026) · eLife · doi:10.7554/elife.111137
Jaiswal, D., Altomare, C. G., Adelsberg, D. C., Sapse, I. A., Krammer, F., Simon, V. R., Ellebedy, A. H., & Bajic, G. (2026) · eLife · doi:10.7554/elife.111137.1
Tian, X., Wang, C., Han, P., Liu, H., Wu, L., Wang, X., Yu, S., zhang, Y., Zhao, B., Liu, J., et al. (2026) · Molecular Therapy · doi:10.1016/j.ymthe.2026.05.012
Freyn, A. W., Budigi, Y., Girard, B., Santos, G., Harmon, C., Hasan, M. M., McGrath, S., Paila, Y. D., Carfı́, A., Edwards, D., et al. (2026) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiag248
Zhang, Q., Hammond, M., Song, J., Fang, Z., Zhao, H., Landström, M., & Mei, Y.-F. (2026) · Frontiers in Microbiology · doi:10.3389/fmicb.2026.1856886
Ardisson, J. S., Athaydes, B. R., Monfardini, M. V., de Almeida, R. L. F., Paneto, G. G., de Paula, H., Nunes, G. F., Spano, L. C., von Zeidler, S. V., & Bastos-Filho, T. (2026) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2026.1924817
Epistasis and the changing fitness landscapes of SARS-CoV-2
Sesta, L., & Neher, R. A. (2026) · Genetics · doi:10.1093/genetics/iyag227
Ermolaeva, E. A., Fomina, A. D., & Zyrina, A. N. (2026) · Frontiers in Microbiology · doi:10.3389/fmicb.2026.1912073
Thomas, S. V., Chen, J., Qian, D., Spearman, P. W., & Shi, D. (2026) · Bioengineering · doi:10.3390/bioengineering13101136
Post‐Microbial Therapeutics for the Next Generation of Medicine
Bhuiyan, M. N. I., & Momtaj, M. (2026) · MicrobiologyOpen · doi:10.1002/mbo3.70427
Divergent functional checkpoints determine epitope-specific ADE outcomes of SARS-CoV-2 entry
Han, Y., Zhang, Q., Gao, Y., Cao, F., Qiu, Y., Wang, P., Wang, Q., & Xue, S. (2026) · Antiviral Research · doi:10.1016/j.antiviral.2026.106560
Self-citationCharacterization of the SARS-CoV-2 Mu variant
Gordon, A., & Kawaoka, Y. (2024) · ImmPort · doi:10.21430/m3ak8n7kte
Antigenic landscape of a highly mutated SARS-CoV-2 spike in ongoing viral evolution
Turelli, P., Eray, E., Raclot, C., Trono, D., & Antanasijevic, A. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2608185123
Metadata
- Authors
- Cerutti, G., Guo, Y., Zhou, T., Gorman, J., Lee, M., Rapp, M., Reddem, E. R., Yu, J., Bahna, F., Bimela, J., Huang, Y., Katsamba, P. S., Liu, L., Nair, M. S., Rawi, R., Olia, A. S., Wang, P., Zhang, B., Chuang, G.-Y., Ho, D. D., Sheng, Z., Kwong, P. D., & Shapiro, L.
- Affiliations
- Mortimer B. Zuckerman Mind Brain Behavior Institute (US)
- National Institutes of Health (US)
- Aaron Diamond AIDS Research Center (US)
- Corresponding author
- Kwong, Peter D.
- Shapiro, Lawrence
- ORCID
- Venue
- Cell Host & Microbe
- Publisher
- Elsevier BV
- Published
- 2021-05
- Volume
- 29
- Issue
- 5
- Pages
- 819-833.e7
- ISSN
- 1931-3128 (ISSN-L)
- PMC
- PMC7953435
- OpenAlex
- W3136437538
- Cited by
- 519
- References
- 89
- Citations by year
- 2026: 28 · 2025: 39 · 2024: 67 · 2023: 93 · 2022: 141 · 2021: 151
- FWCI
- 35.87
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell Host & Microbe (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Simons Foundation (SF349247)
- National Institute of General Medical Sciences (GM103310, GM129539)
- National Institutes of Health (P41 GM103403, P30 GM124165)
- Vaccine Research Center
- Office of Science (W-31-109-Eng-38)
- Empire State Development's Division of Science, Technology and Innovation
- Basic Energy Sciences
- U.S. Department of Energy
- National Institute of Allergy and Infectious Diseases
- 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 › Immunology and Microbiology › Immunology › Monoclonal and Polyclonal Antibodies Research
- Keywords
- SARS-CoV-2, neutralizing antibodies, antibody-antigen complex structure, cryo-EM structure, crystal structure, glycans, beta-hairpin, epitope mapping, convalescent donors, receptor binding domain
- MeSH terms
- Protein Domains, SARS-CoV-2, Antibodies, Viral, Humans, Mutation, Protein Conformation, Antibodies, Neutralizing, Spike Glycoprotein, Coronavirus
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review