ArticleCell reports2021
One-shot identification of SARS-CoV-2 S RBD escape mutants using yeast screening.
Article in Cell reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
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Who cites it
44 citing papers in PubMed.
- Deep mutational scanning of recent SARS-CoV-2 variants highlights changing amino acid preferences within epistatic hotspot residues.PLoS pathogens · 2026Article
- Article
- Evolution of SARS-CoV-2 caused infection in farmed minks: continuous surveillance of an 11-month outbreak at the largest Latvian mink farm.Virus evolution · 2026Article
- Graph attention with structural features improves the generalizability of identifying functional sequences at a protein interface.bioRxiv : the preprint server for biology · 2025Article
- Two cross-neutralizing antibodies isolated from a COVID-19 convalescent via single B cell sorting.Archives of virology · 2025Article
- Deep mutational learning for the selection of therapeutic antibodies resistant to the evolution of Omicron variants of SARS-CoV-2.Nature biomedical engineering · 2025Article
- Retrospective SARS-CoV-2 human antibody development trajectories are largely sparse and permissive.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Epitope mapping via in vitro deep mutational scanning methods and its applications.The Journal of biological chemistry · 2025Review
- Comprehensive analysis of SARS-CoV-2 Spike evolution: epitope classification and immune escape prediction.Virus evolution · 2025Article
- Backstage Heroes-Yeast in COVID-19 Research.International journal of molecular sciences · 2024Review
- Display of Native SARS-CoV-2 Spike on Mammalian Cells to Measure Antibody Affinity and ADCC.Bio-protocol · 2024Article
- Exploring the ability of the MD+FoldX method to predict SARS-CoV-2 antibody escape mutations using large-scale data.Scientific reports · 2024Article
- Deep mutational scanning of SARS-CoV-2 Omicron BA.2.86 and epistatic emergence of the KP.3 variant.bioRxiv : the preprint server for biology · 2024Article
- Mammalian cell display with automated oligo design and library assembly allows for rapid residue level conformational epitope mapping.Communications biology · 2024Article
- Exploring the ability of the MD+FoldX method to predict SARS-CoV-2 antibody escape mutations using large-scale data.bioRxiv : the preprint server for biology · 2024Article
- Screening for drivers of SARS-CoV-2 uptake.Nature biomedical engineering · 2024Article
- A monoclonal antibody targeting a large surface of the receptor binding motif shows pan-neutralizing SARS-CoV-2 activity.Nature communications · 2024Article
- Standardizing cassette-based deep mutagenesis by Golden Gate assembly.Biotechnology and bioengineering · 2024Article
- Deep mutational scanning of SARS-CoV-2 Omicron BA.2.86 and epistatic emergence of the KP.3 variant.Virus evolution · 2024Article
- Deep mutational scans of XBB.1.5 and BQ.1.1 reveal ongoing epistatic drift during SARS-CoV-2 evolution.PLoS pathogens · 2023Article
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Authors and funding
12 authors.
Funding
Abstract
The potential emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike (S) escape mutants is a threat to the efficacy of existing vaccines and neutralizing antibody (nAb) therapies. An understanding of the antibody/S escape mutation landscape is urgently needed to preemptively address this threat. Here we describe a rapid method to identify escape mutants for nAbs targeting the S receptor binding site. We identified escape mutants for five nAbs, including three from the public germline class VH3-53 elicited by natural coronavirus disease 2019 (COVID-19) infection. Escape mutations predominantly mapped to the periphery of the angiotensin-converting enzyme 2 (ACE2) recognition site on the RBD with K417, D420, Y421, F486, and Q493 as notable hotspots. We provide libraries, methods, and software as an openly available community resource to accelerate new therapeutic strategies against SARS-CoV-2.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.