Expansion Therapeutics collected this real-world ADMET data during recent drug discovery campaigns targeting RNA-mediated diseases. The dataset, released by openadmet on Hugging Face, contains measurements from preclinical optimization programs. It was last updated on December 5, 2025.
Use Cases
- Train models to predict off-target interactions based on collected ADMET data.
- Benchmark computational ADMET prediction tools against real-world campaign data.
- Analyze property relationships in the 'whack-a-mole' optimization process described.
Strengths
- Data originates from real, recently prosecuted drug discovery campaigns.
- Contains a variety of ADMET measurements for off-targets and properties of interest.
- Released by the organization involved in the campaigns, suggesting direct provenance.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count and file formats are unknown, which may limit suitability assessment.
- The description is truncated, requiring a visit to the dataset page for full details.
Provenance
- Source
- Expansion Therapeutics drug discovery campaigns, released by openadmet.
- Collection Method
- Collected during preclinical optimization programs for RNA-mediated diseases.
- Time Range
- From recent campaigns, but specific years are not provided.
- Freshness
- Last updated 2025-12-05 20:46:45.
- Geography
- null