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

Regional and temporal coordinated mutation patterns in SARS-CoV-2 spike protein revealed by a clustering and network analysis.

Scientific reports - 21 Jan 2022

Negi Surendra S, Schein Catherine H, Braun Werner

Abstract excerpt

SARS-CoV-2 has steadily mutated during its spread to > 300 million people throughout the world. The WHO has designated strains with certain mutations, "variants of concern" (VOC), as they may have higher infectivity and/or resist neutralization by antibodies in sera of vaccinated individuals and convalescent patients. Methods to detect regionally emerging VOC are needed to guide treatment and vaccine design....

Read the complete abstract on PubMed

Topics

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

Share to Computational Drug Discovery Methods
Share to COVID-19

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Mutation

Share to SARS-CoV-2

Share to SARS-CoV-2 and COVID-19 Research

Share to Spike Glycoprotein, Coronavirus

Share to vaccines and immunoinformatics approaches

Source

Open in PubMed Open full text

Identifiers

PMID: 35064154
DOI: 10.1038/s41598-022-04950-4
PMCID: PMC8782831

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Regional and temporal coordinated mutation patterns in SARS-CoV-2 spike protein revealed by a clustering and network analysis.PMID 35064154Read ↗

Sequence Similarity Network Analysis Provides Insight into the Temporal and Geographical Distribution of Mutations in SARS-CoV-2 Spike Protein.Semantic proximity Read ↗

Deep phylogenetic-based clustering analysis uncovers new and shared mutations in SARS-CoV-2 variants as a result of directional and convergent evolutionSemantic proximity Read ↗

Geographic and Genomic Distribution of SARS-CoV-2 MutationsSemantic proximity Read ↗

SARS-CoV-2 Variants and Their Relevant Mutational Profiles: Update Summer 2021.Semantic proximity Read ↗

Geographic and Genomic Distribution of SARS-CoV-2 MutationsSemantic proximity Read ↗

Spike mutation pipeline reveals the emergence of a more transmissible form of SARS-CoV-2Semantic proximity Read ↗

Characterizations of SARS-CoV-2 mutational profile, spike protein stability and viral transmission.Semantic proximity Read ↗

Large-scale analysis of SARS-CoV-2 spike-glycoprotein mutants demonstrates the need for continuous screening of virus isolatesSemantic proximity Read ↗

Deep phylogenetic-based clustering analysis uncovers new and shared mutations in SARS-CoV-2 variants as a result of directional and convergent evolution.Semantic proximity Read ↗

Large-scale analysis of SARS-CoV-2 spike-glycoprotein mutants demonstrates the need for continuous screening of virus isolates.Semantic proximity Read ↗

Molecular evolutionary model based phylogenetic and mutation analysis of SARS-CoV2 spike protein sequences from Asian countries: a phylogenomic approachSemantic proximity Read ↗

Characterizing SARS-CoV-2 mutations in the United StatesSemantic proximity Read ↗

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