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--- |
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tags: |
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- chemistry |
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- smiles |
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- molecules |
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- cheminformatics |
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- classification |
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pretty_name: COVID-19 Classification |
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size_categories: |
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- 1K<n<10K |
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--- |
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# COVID-19 Classification |
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Binary classification dataset of small molecules represented as SMILES for predicting anti‑coronavirus (SARS‑CoV‑2) activity. |
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## Source |
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- [Original dataset CSV](https://github.com/Harigua/ML_DD-applications/blob/main/COVID-19/data.csv) |
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## Data fields |
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- `smiles` (string): Canonical, isomeric SMILES. Unmodified from the source. |
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- `label` (int): Binary activity label, {0: Inactive, 1: Active}. |
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## Citation |
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Harigua-Souiai, E.; Heinhane, M.M.; Abdelkrim, Y.Z.; Souiai, O.; Abdeljaoued-Tej, I.; Guizani, I. Deep Learning Algorithms Achieved Satisfactory Predictions When Trained on a Novel Collection of Anticoronavirus Molecules. Frontiers in Genetics, 2021, 12:744170. https://doi.org/10.3389/fgene.2021.744170 |
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Please cite the authors above if you use this dataset. |
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