Vaccine-escape and fast-growing mutations in the United Kingdom, the United States, Singapore, Spain, India, and other COVID-19-devastated countries
Open accessAbstract
Recently, the SARS-CoV-2 variants from the United Kingdom (UK), South Africa, and Brazil have received much attention for their increased infectivity, potentially high virulence, and possible threats to existing vaccines and antibody therapies. The question remains if there are other more infectious variants transmitted around the world. We carry out a large-scale study of 506,768 SARS-CoV-2 genome isolates from patients to identify many other rapidly growing mutations on the spike (S) protein receptor-binding domain (RBD). We reveal that essentially all 100 most observed mutations strengthen the binding between the RBD and the host angiotensin-converting enzyme 2 (ACE2), indicating the virus evolves toward more infectious variants. In particular, we discover new fast-growing RBD mutations N439K, S477N, S477R, and N501T that also enhance the RBD and ACE2 binding. We further unveil that mutation N501Y involved in United Kingdom (UK), South Africa, and Brazil variants may moderately weaken the binding between the RBD and many known antibodies, while mutations E484K and K417N found in South Africa and Brazilian variants, L452R and E484Q found in India variants, can potentially disrupt the binding between the RBD and many known antibodies. Among these RBD mutations, L452R is also now known as part of the California variant B.1.427. Finally, we hypothesize that RBD mutations that can simultaneously make SARS-CoV-2 more infectious and disrupt the existing antibodies, called vaccine escape mutations, will pose an imminent threat to the current crop of vaccines. A list of most likely vaccine escape mutations is given, including S494P, Q493L, K417N, F490S, F486L, R403K, E484K, L452R, K417T, F490L, E484Q, and A475S. Mutation T478K appears to make the Mexico variant B.1.1.222 the most infectious one. Our comprehensive genetic analysis and protein-protein binding study show that the genetic evolution of SARS-CoV-2 on the RBD, which may be regulated by host gene editing, viral proofreading, random genetic drift, and natural selection, gives rise to more infectious variants that will potentially compromise existing vaccines and antibody therapies.
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
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?
The Lambda variant is described as having mutations that increase infectivity and immune escape.
“The L452Q and F490S mutations reported in the RBD region have been shown to increase the viral infectivity, rendering the virus more infectious and able to escape immune response from specific monoclonal antibodies [51, 52] or disrupt the ability of vaccine-generated antibodies to recognize the variant [53].”
From Waves and variants of SARS-CoV-2: understanding the causes and effect of the COVID-19 catastrophe (2022) · cites this paper as [53]
In Results (‘Impacts of SARS-CoV-2 spike RBD mutations on COVID-19 vaccines’; page unavailable), Table 4 identifies F490S as a predicted vaccine-escape mutation, and the infectivity Results suggest it may lead to more infectious variants. The paper does not establish escape from vaccine-generated antibodies in vaccinated people, nor does it identify L452Q or the Lambda variant; the citing sentence presents the predicted effect more definitively than the source does. (LLM, conf=0.87)
Experimental — accuracy not yet measuredL452Q and F490S in RBD increase viral infectivity, making the virus more infectious and able to escape specific monoclonal antibodies or disrupt vaccine-generated antibody recognition.
“The L452Q and F490S mutations reported in the RBD region have been shown to increase the viral infectivity, rendering the virus more infectious and able to escape immune response from specific monoclonal antibodies [51, 52] or disrupt the ability of vaccine-generated antibodies to recognize the variant [53].”
From Waves and variants of SARS-CoV-2: understanding the causes and effect of the COVID-19 catastrophe (2022) · cites this paper as [53]
In Results (Impacts on COVID-19 vaccines, Table 4; page unavailable), the paper classifies F490S as a predicted vaccine-escape mutation, and the Conclusion says it is more likely to disrupt existing vaccines and antibody drugs. It does not establish disrupted recognition by vaccine-generated antibodies, and its corresponding mutation is L452R, not L452Q. The citing sentence also presents these predicted effects as having been shown. (LLM, conf=0.88)
Experimental — accuracy not yet measuredMutations in the RBD region are likely to disrupt antibody recognition.
“Mutations in the RBD region are likely to disrupt antibody recognition [53].”
From Waves and variants of SARS-CoV-2: understanding the causes and effect of the COVID-19 catastrophe (2022) · cites this paper as [53]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 46 · Cited by 191
Research works printed but not linked: 1
- [25]Felipe Naveca, Cristiano da Costa, Valdinete Nascimento, Victor Souza, André Corado, Fernanda Nascimento, Ágatha Costa, Débora Duarte, George Silva, Matilde Meja, et al. Sars-cov-2 reinfection by the new variant of concern (voc) p. 1 in amazonas, brazil. virological. org. Preprint available at: https://virological.org/t/sars-cov-2-reinfection-by-thenew-variant-of-concern-voc-p-1-in-amazonas-brazil/596. Available at: https://virological.org/t/sars-cov-2-reinfection-by-the-new-variant-of-concern-voc-p-1-in-amazonas-brazil/596, 2021.
- Authors
- Wang, R., Chen, J., Gao, K., & Wei, G.-W.
- Affiliations
- Michigan State University (US)
- Corresponding author
- Wei, Guo-Wei
- Venue
- Genomics
- Publisher
- Elsevier BV
- Published
- 2021-07
- Volume
- 113
- Issue
- 4
- Pages
- 2158-2170
- ISSN
- 0888-7543 (ISSN-L)
- PMC
- PMC8123493
- OpenAlex
- W3162218733
- Cited by
- 191
- References
- 46
- Citations by year
- 2026: 2 · 2025: 7 · 2024: 16 · 2023: 33 · 2022: 68 · 2021: 64 · 2012: 1
- FWCI
- 14.37
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 549 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Genomics (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- NASA
- NSF BCS
- National Institutes of Health
- 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 › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Keywords
- SARS-CoV-2, COVID-19 pandemic, spike protein, receptor binding domain, vaccine escape mutations, ACE2 binding, antibody binding, viral evolution, SARS-CoV-2 variants, E484K, K417N, L452R, N501Y
- MeSH terms
- Angiotensin-Converting Enzyme 2, COVID-19, SARS-CoV-2, COVID-19 Vaccines, Humans, Mutation, Protein Binding, Protein Interaction Maps, 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