Pan-Betacoronavirus Vaccine Construct: Immunoinformatics Predictions and 3D Model

A 285–amino acid multi-epitope vaccine construct designed using an immunoinformatics and reverse vaccinology framework. The computational model includes structural stability analysis, molecular docking results, and immune simulation predictions for broad HLA population coverage. The dataset, authored by Anabella Margareth Arapa, was last updated on March 18, 2026.

Use Cases

• Validate vaccine epitope predictions based on described antigenicity, allergenicity, and toxicity screening.
• Assess structural stability of vaccine-receptor complexes based on molecular dynamics simulation results over 100 ns.
• Evaluate predicted immune responses based on simulated antibody titers, IL-2, IFN-γ levels, and memory cell populations.
• Analyze HLA population coverage based on the reported 93.28% global coverage estimate.

Strengths

• Includes a specific 285–amino acid construct with defined linkers and a human β-defensin 3 adjuvant.
• Reports concrete computational metrics, including a C-score of -3.60 and a docking Lowest Energy score of -865.9.
• Provides immune simulation predictions for humoral and cellular responses following a prime–boost regimen.

Limitations

• Data is presented as a supplementary document (DOCX); column-level data and sample data are unavailable.
• All findings are computational predictions requiring experimental validation in vitro and in vivo.
• Row count and structured data format are unknown, limiting suitability for direct machine learning ingestion.

Provenance

Source

figshare, authored by Anabella Margareth Arapa.

Collection Method

Generated via an integrated immunoinformatics and reverse vaccinology framework.

Freshness

Last updated 2026-03-18 06:42:14