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scikit-fingerprints/MoleculeNet_Lipophilicity

MoleculeNet Lipophilicity Lipophilicity dataset, part of MoleculeNet [1] benchmark. It is intended to be used through scikit-fingerprints library. The task is to predict octanol/water distribution coefficient (logD) at pH 7.4. Targets are already log transformed, and are a unitless ratio. Characteristic Description Tasks 1 Task type regression Total samples 4200 Recommended split scaffold Recommended metric RMSE References [1] Wu, Zhenqin… See the full description on the dataset page: https://huggingface.co/datasets/scikit-fingerprints/MoleculeNet_Lipophilicity.

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Dataset Card

MoleculeNet Lipophilicity

Lipophilicity dataset, part of MoleculeNet [[1]](#1) benchmark. It is intended to be used through scikit-fingerprints library.

The task is to predict octanol/water distribution coefficient (logD) at pH 7.4. Targets are already log transformed, and are a unitless ratio.

**Characteristic****Description**
Tasks1
Task typeregression
Total samples4200
Recommended splitscaffold
Recommended metricRMSE

References

<a id="1">[1]</a> Wu, Zhenqin, et al. "MoleculeNet: a benchmark for molecular machine learning." Chemical Science 9.2 (2018): 513-530 https://pubs.rsc.org/en/content/articlelanding/2018/sc/c7sc02664a