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  # TDC Herg Karim
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- Herg Karim dataset [[1]] (#1), part of TDC [[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 whether the drug blocks ether-à-go-go related gene (hERG),
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  This dataset is a binary classification task, with molecules defined as hERG (<10 µM)
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  and non-hERG (>=10 µM) blockers.
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-
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  | **Characteristic** | **Description** |
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  |:------------------:|:------------------------:|
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  | Tasks | 1 |
@@ -46,7 +45,6 @@ deep learning meta-feature ensembles"
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  Journal of Cheminformatics 13, 60 (2021)
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  https://doi.org/10.1186/s13321-021-00541-z
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-
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  <a id="2">[2]</a>
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  Huang, Kexin, et al.
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  "Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development"
 
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  # TDC Herg Karim
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+ Herg Karim dataset [[1]](#1), part of TDC [[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 whether the drug blocks ether-à-go-go related gene (hERG),
 
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  This dataset is a binary classification task, with molecules defined as hERG (<10 µM)
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  and non-hERG (>=10 µM) blockers.
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  | **Characteristic** | **Description** |
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  |:------------------:|:------------------------:|
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  | Tasks | 1 |
 
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  Journal of Cheminformatics 13, 60 (2021)
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  https://doi.org/10.1186/s13321-021-00541-z
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  <a id="2">[2]</a>
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  Huang, Kexin, et al.
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  "Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development"