Vaccine-TLR4 Binding Affinity and Kd Predictions

A small dataset containing predicted binding affinity and dissociation constant (Kd) values for a vaccine model interacting with the TLR4 receptor. The 5.5 KB Excel file was authored by Md. Nazmussakib Shuvo and last updated in April 2026. It presents computational predictions from a specific molecular model.

Use Cases

• Validate predicted binding_affinity scores against experimental data for vaccine candidates.
• Analyze the correlation between predicted Kd values and other molecular descriptors from the vaccine-TLR4 model.
• Use predicted Kd as a target variable for training machine learning models to optimize vaccine epitopes.
• Benchmark the performance of different computational docking or scoring functions using the provided affinity predictions.

Strengths

• Dataset is openly licensed under CC-BY-4.0, permitting reuse and modification.
• Provides a specific, focused prediction for vaccine-TLR4 interactions, a key pathway in immunology.

Limitations

• Extremely small scale at 5.5 KB, indicating a very limited number of data points or records.
• Contains only computational predictions without accompanying experimental validation data.
• No column names or sample data are provided, limiting understanding of the data structure.

Provenance

Source

Md. Nazmussakib Shuvo via figshare.

Collection Method

Computational prediction from a vaccine-TLR4 model; specific methodology is not detailed.

Freshness

Last updated in April 2026, indicating it is a forward-dated or planned future update.