LACV-mVax01-TLR Complexes: Docking Scores and Molecular Interactions

A 5.5 KB Excel file contains docking scores and interaction data for complexes between the LACV-mVax01 vaccine candidate and Toll-like Receptors (TLRs). The dataset was authored by Md. Habib Ullah Masum and last updated on 2026-05-28. Its specific row count is unknown.

Use Cases

• Ranking potential vaccine-receptor binding affinities based on docking scores.
• Analyzing molecular interaction patterns between a vaccine candidate and immune receptors.
• Training or validating machine learning models for protein docking predictions.
• Screening for optimal TLR targets for a specific viral vaccine construct.

Strengths

• File size is precisely 5.5 KB, indicating a focused and manageable dataset.
• Data is shared under a permissive CC-BY-4.0 license, allowing for broad reuse.
• The dataset has a specific last update timestamp of 2026-05-28 17:32:40.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale analysis.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Likely generated via computational molecular docking simulations.

Freshness

Last updated 2026-05-28 17:32:40; freshness should be verified.