Coronavirus Spike Glycosylation Data from Cryo-EM Structures

BdCoV_AUC_per_glycosite_all_proteases dataset contains glycoproteomic analysis of spike proteins from two distinct gammacoronaviruses infecting marine mammals. The data includes glycosylation site information derived from high-resolution cryo-EM structures. Ruben J. G. Hulswit authored this dataset, which was updated on April 8, 2026.

Use Cases

• Analyze N-glycosylation patterns across spike protein domains using glycosite-specific data.
• Compare glycan shield composition, such as high-mannose abundance on the S1^0 domain.
• Study O-glycosylation sites within the mucin-like loop at the trimer apex.
• Correlate glycosylation metrics with structural features from cryo-EM reconstructions.
• Investigate evolutionary adaptations in spike proteins by examining domain-specific glycosylation data.

Strengths

• Data derived from high-resolution cryo-EM structures of two distinct coronaviruses.
• Includes analysis of over 100 N-glycans per spike protein trimer.
• Captures both N-glycosylation and O-glycosylation site information.
• Focuses on a unique gammacoronavirus lineage infecting marine mammals.

Limitations

• Dataset size is 127.8 KB, indicating a limited scope and likely small number of observations.
• Specific row count and column names are unknown, limiting precise assessment of data volume.
• Data is specific to two virus strains, reducing generalizability to other coronaviruses.

Provenance

Source

figshare, authored by Ruben J. G. Hulswit.

Collection Method

Glycoproteomic analysis based on cryo-EM structural data.

Freshness

Last updated in April 2026.