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  pretty_name: MoleculeNet HIV
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  size_categories:
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  - 10K<n<100K
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  pretty_name: MoleculeNet HIV
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  size_categories:
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  - 10K<n<100K
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+ ---
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+
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+ # MoleculeNet HIV
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+
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+ HIV 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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+
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+ The task is to predict ability of molecules to inhibit HIV replication.
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+
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+ | **Characteristic** | **Description** |
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+ |:------------------:|:---------------:|
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+ | Tasks | 1 |
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+ | Task type | classification |
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+ | Total samples | 41127 |
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+ | Recommended split | scaffold |
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+ | Recommended metric | AUROC |
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+
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+ ## References
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+ <a id="1">[1]</a>
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+ AIDS Antiviral Screen Data
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+ https://wiki.nci.nih.gov/display/NCIDTPdata/AIDS+Antiviral+Screen+Data
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+
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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