PD1-IMPAAT: Structure-Based Virtual Screening Results

446.8 KB of results from a structure-based virtual screening of the PD1 target against the IMPAAT database. The dataset, authored by Neha Sharma and shared under a CC-BY-4.0 license, was last updated on April 22, 2026. It is stored in a CSV format.

Use Cases

• Ranking potential drug candidates based on predicted binding affinity scores from the virtual screening.
• Validating docking or scoring algorithms using the PD1-IMPAAT interaction results.
• Training or testing machine learning models for binding affinity prediction on a specific protein-ligand pair.

Strengths

• Data is openly shared under a permissive CC-BY-4.0 license.
• File size of 446.8 KB indicates a manageable, focused dataset for analysis.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• 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

Neha Sharma via figshare

Collection Method

Structure-based virtual screening

Time Range

Publication date suggests data generated circa 2026.

Freshness

Last updated 2026-04 22 17:29:53; freshness should be verified.

Geography

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