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pretty_name: MoleculeNet ESOL
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size_categories:
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pretty_name: MoleculeNet ESOL
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size_categories:
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# MoleculeNet ESOL
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ESOL (Estimated SOLubility) dataset [[1]](#1), part of MoleculeNet [[2]](#2) benchmark. It is intended to be used through
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[scikit-fingerprints](https://github.com/scikit-fingerprints/scikit-fingerprints) library.
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The task is to predict aqueous solubility. Targets are log-transformed, and the unit is log mols per litre (log Mol/L).
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| **Characteristic** | **Description** |
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|:------------------:|:---------------:|
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| Tasks | 1 |
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| Task type | regression |
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| Total samples | 1128 |
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| Recommended split | scaffold |
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| Recommended metric | RMSE |
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## References
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<a id="1">[1]</a>
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John S. Delaney
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"ESOL: Estimating Aqueous Solubility Directly from Molecular Structure"
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J. Chem. Inf. Comput. Sci. 2004, 44, 3, 1000–1005
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https://pubs.acs.org/doi/10.1021/ci034243x
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<a id="2">[2]</a>
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Wu, Zhenqin, et al.
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"MoleculeNet: a benchmark for molecular machine learning."
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Chemical Science 9.2 (2018): 513-530
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https://pubs.rsc.org/en/content/articlelanding/2018/sc/c7sc02664a
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