A freely available database of annotated compound data sets and software tools for chemoinformatics and computational medicinal chemistry. The programs were developed in a laboratory at the University of Bonn by Ye Hu. The original release was described in a 2012 article in F1000Research.
Use Cases
- Developing predictive models for compound activity based on annotated chemical data.
- Benchmarking chemoinformatics algorithms using the provided software tools.
- Training machine learning models for molecular property prediction using the compound data sets.
Strengths
- The data and tools are freely available under an Open Access (green) license.
- The database is annotated, which suggests structured labels for the compound data.
- The tools were developed in an academic laboratory, suggesting a research-oriented focus.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- University of Bonn laboratory
- Collection Method
- Developed in a research laboratory for chemoinformatics and computational medicinal chemistry.