Molecular Docking Results for a BtHKU5-CoV-2 Multi-Epitope Vaccine

Computational results from a study proposing a novel mRNA vaccine candidate for the bat coronavirus BtHKU5-CoV-2. The dataset contains molecular docking results for interactions between the vaccine construct and Toll-like receptors, generated by Ningze Zheng and published on figshare in April 2026. The data is derived from an immunoinformatics approach screening epitopes from the virus's spike glycoprotein.

Use Cases

• Analyze predicted vaccine-TLR interaction modes based on molecular docking results mentioned in the description
• Evaluate the structural plausibility of a multi-epitope vaccine based on in silico quality metrics
• Study the predicted antigenicity and immunogenicity of a designed vaccine construct
• Model immune response simulations based on described humoral and cellular immune response predictions

Strengths

• Dataset is openly licensed under CC-BY-4.0, permitting reuse with attribution
• Focuses on a specific, recently discovered virus (BtHKU5-CoV-2) with described spillover risk
• Results are based on a defined immunoinformatics method screening 8 CTL, 7 HTL, and 5 LBL epitopes

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• All findings are computational; the description notes further experiments are necessary for validation

Provenance

Source

figshare, authored by Ningze Zheng

Collection Method

Generated via in silico molecular docking and immunoinformatics analysis

Time Range

Publication date is 2026, but the temporal coverage of the underlying data is not specified

Freshness

Last updated 2026-04-03 17:42:45

Geography

Geographic scope is not specified; the study focuses on a bat-infecting virus