TACK: PROTAC Degradation Activity Prediction Benchmark

A curated, ML-ready dataset and benchmark for predicting the degradation activity of Proteolysis-targeting chimeras (PROTACs). The dataset was created by ailab-bio and was last updated on Hugging Face in May 2026.

Use Cases

• Train models to predict PROTAC degradation activity based on molecular structure.
• Benchmark machine learning algorithms for bioactivity prediction in drug discovery.
• Analyze the complex interplay between PROTAC structure, target proteins (POIs), and E3 ligases.

Strengths

• Dataset is explicitly curated and described as 'ML-ready'.
• Serves as a dedicated benchmark for PROTAC degradation activity prediction.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

ailab-bio on Hugging Face.

Collection Method

Curated, method not specified.

Freshness

Last updated 2026-05-20 11:30:10; freshness should be verified.