The effect of N-glycosylation of SARS-CoV-2 spike protein on the virus interaction with the host cell ACE2 receptor
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Title
The effect of N-glycosylation of SARS-CoV-2 spike protein on the virus interaction with the host cell ACE2 receptor
Authors
Keywords
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Journal
iScience
Volume 24, Issue 11, Pages 103272
Publisher
Elsevier BV
Online
2021-10-14
DOI
10.1016/j.isci.2021.103272
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Related references
Note: Only part of the references are listed.- Dual nature of human ACE2 glycosylation in binding to SARS-CoV-2 spike
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- Functional assessment of cell entry and receptor usage for SARS-CoV-2 and other lineage B betacoronaviruses
- (2020) Michael Letko et al. Nature Microbiology
- Site-specific glycan analysis of the SARS-CoV-2 spike
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- Vulnerabilities in coronavirus glycan shields despite extensive glycosylation
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- Distinct conformational states of SARS-CoV-2 spike protein
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- Comprehensive Analysis of the Glycan Complement of SARS-CoV-2 Spike Proteins Using Signature Ions-Triggered Electron-Transfer/Higher-Energy Collisional Dissociation (EThcD) Mass Spectrometry
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- Molecular Architecture of the SARS-CoV-2 Virus
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- Site-specific N-glycosylation Characterization of Recombinant SARS-CoV-2 Spike Proteins
- (2020) Yong Zhang et al. MOLECULAR & CELLULAR PROTEOMICS
- Beyond Shielding: The Roles of Glycans in the SARS-CoV-2 Spike Protein
- (2020) Lorenzo Casalino et al. ACS Central Science
- Glycosylation of the viral attachment protein of avian coronavirus is essential for host cell and receptor binding
- (2019) Lisa Parsons et al. JOURNAL OF BIOLOGICAL CHEMISTRY
- Characterization of the role of N-glycosylation sites in the respiratory syncytial virus fusion protein in virus replication, syncytium formation and antigenicity
- (2019) Annelies Leemans et al. VIRUS RESEARCH
- Toward Automated Identification of Glycan Branching Patterns Using Multistage Mass Spectrometry with Intelligent Precursor Selection
- (2018) Shiwei Sun et al. ANALYTICAL CHEMISTRY
- Glycan–protein interactions in viral pathogenesis
- (2016) Rahul Raman et al. CURRENT OPINION IN STRUCTURAL BIOLOGY
- Glycan reader: Automated sugar identification and simulation preparation for carbohydrates and glycoproteins
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