Minimal training set for SAM
<p>Example dataset for training <a href="https://github.com/giacomo-janson/idpsam">SAM</a>, a deep learning model for protein conformation generation. The dataset consists in 10 Markov Chain Monte Carlo simulations for 4 peptide sequences. Simulations were carried out with the <a href="https://campari.sourceforge.net/V4/index.html">CAMPARI 4.0</a> package using the <a href="https://pubmed.ncbi.nlm.nih.gov/18506808/">ABSINTH</a> implicit solvent model. The trajectory files store only C alpha coordinates.</p>
ShareScore
16/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 8
- Reuse readiness
- 0
- Engagement
- 0
Dataset details
- Repository
- zenodo
- Published
- December 30, 2023
- License
- mit-license
- DOI
- 10.5281/zenodo.10447231
Scored with release 0.9.0
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