choderalab/refit-espaloma: Preprocessed data to train espaloma-0.3
<p>This is a collection of preprocessed data used to train <strong>espaloma-0.3</strong>, which is published in:</p> <p>Kenichiro Takaba, Iván Pulido, Pavan Kumar Behara, Mike Henry, Hugo MacDermott Opeskin, John D. Chodera, Yuanqing Wang. "Machine-learned molecular mechanics force field for the simulation of protein-ligand systems and beyond" (<a href="https://arxiv.org/abs/2307.07085">arXiv:2307.07085</a>)</p> <p>The provided data is compatible with the data generated at <a href="https://github.com/choderalab/refit-espaloma/tree/main/openff-default/02-train/merge-data">https://github.com/choderalab/refit-espaloma/tree/main/openff-default/02-train/merge-data</a>.</p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4