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  ## Short description
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- MolE learns task-independent molecular representations of chemicals via Graph Isomorphism Networks (GINs). Combined with an XGBoost classifier it estimates the probability of a compound inhibiting bacterial growth. The model was developed by Roberto Olayo Alarcon et al. and more information can be found in the [GitHub repository](https://github.com/rolayoalarcon/MolE) and the [accompanying paper](https://www.nature.com/articles/s41467-025-58804-4)GitHub repository and the accompanying paper.
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  ## Model versions
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  ## Short description
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+ MolE learns task-independent molecular representations of chemicals via Graph Isomorphism Networks (GINs). Combined with an XGBoost classifier it estimates the probability of a compound inhibiting bacterial growth. The model was developed by Roberto Olayo Alarcon et al. and more information can be found in the [GitHub repository](https://github.com/rolayoalarcon/MolE) and the [accompanying paper](https://www.nature.com/articles/s41467-025-58804-4).
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  ## Model versions
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