Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

One-shot identification of SARS-CoV-2 S RBD escape mutants using yeast screening

1 Aug 2021

Abstract excerpt

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...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Monoclonal and Polyclonal Antibodies Research
Share to SARS-CoV-2 and COVID-19 Research
Share to vaccines and immunoinformatics approaches

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Source

Identifiers

PMID: 34416153
DOI: 10.1016/j.celrep.2021.109627

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 10 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

One-shot identification of SARS-CoV-2 S RBD escape mutants using yeast screeningPMID 34416153Read ↗

One-shot identification of SARS-CoV-2 S RBD escape mutants using yeast screeningSemantic proximity Read ↗

Identification of SARS-CoV-2 S RBD escape mutants using yeast screening and deep mutational scanning.Semantic proximity Read ↗

Deep mutagenesis in the study of COVID-19: a technical overview for the proteomics community.Semantic proximity Read ↗

B.1.1.529 escapes the majority of SARS-CoV-2 neutralizing antibodies of diverse epitopesSemantic proximity Read ↗

Insights from deep mutational scanning in the context of an emerging pathogen.Semantic proximity Read ↗

Omicron escapes the majority of existing SARS-CoV-2 neutralizing antibodiesSemantic proximity Read ↗

Omicron escapes the majority of existing SARS-CoV-2 neutralizing antibodiesSemantic proximity Read ↗

Mutational escape from the polyclonal antibody response to SARS-CoV-2 infection is largely shaped by a single class of antibodiesSemantic proximity Read ↗

Omicron escapes the majority of existing SARS-CoV-2 neutralizing antibodies.Semantic proximity Read ↗

Mapping mutations to the SARS-CoV-2 RBD that escape binding by different classes of antibodies.Semantic proximity Read ↗

Susceptibility of broad reactivity nanobodies to resistance mutations in the S2 domain of SARS-CoV-2 predicted by yeast display deep mutational scanning.Semantic proximity Read ↗

Dissecting serum polyclonal antibody escape to SARS-CoV-2 variants by deep mutational learning.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.