zenodoopen
Druggability Assessment in TRAPP using Machine Learning Approaches
<p>This archive contains data sets and software codes used for building ML models reported in the paper "Druggability Assessment in TRAPP using Machine Learning Approaches"; <em>J. Chem. Inf. Model.</em> 2020, 60, 3, 1685–1699; <a href="https://doi.org/10.1021/acs.jcim.9b01185">https://doi.org/10.1021/acs.jcim.9b01185</a></p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 12