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+ ---
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+ configs:
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+ - config_name: default
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+ data_files: "main/*.parquet"
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+ license: cc-by-4.0
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+ tags:
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+ - molecular dynamics
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+ - mlip
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+ - interatomic potential
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+ pretty_name: TSFF PLOS 2022
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+ ---
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+ # Dataset
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+ TSFF PLOS 2022
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+ ### Description
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+ One configuration of an enzyme: training data for a quantum-guided molecular mechanics model.
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+ <br>Additional details stored in dataset columns prepended with "dataset_".
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+ ### Dataset authors
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+ Taylor R. Quinn, Himani N. Patel, Kevin H. Koh, Brandon E. Haines, Per-Ola Norrby, Paul Helquist, Olaf Wiest
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+ ### Publication
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+ https://doi.org/10.1371/journal.pone.0264960
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+ ### Original data link
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+ https://doi.org/10.1371/journal.pone.0264960.s001
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+ ### License
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+ CC-BY-4.0
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+ ### Number of unique molecular configurations
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+ 1
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+ ### Number of atoms
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+ 117
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+ ### Elements included
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+ C, H, N, O, S
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+ ### Properties included
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+ energy, atomic forces, cauchy stress
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+ ### Cite this dataset
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+ Quinn, T. R., Patel, H. N., Koh, K. H., Haines, B. E., Norrby, P., Helquist, P., and Wiest, O. _TSFF PLOS 2022_. ColabFit, 2023. https://doi.org/10.60732/e75f2602