ChemicalX Documentation¶

ChemicalX is a deep learning library for drug-drug interaction, polypharmacy side effect, and synergy prediction. The library consists of data loaders and integrated benchmark datasets. It also includes state-of-the-art deep neural network architectures that solve the drug pair scoring task. Implemented methods cover traditional SMILES string based techniques and neural message passing based models.

>@article{chemicalx,
          arxivId = {2202.05240},
          author = {Rozemberczki, Benedek and Hoyt, Charles Tapley and Gogleva, Anna and Grabowski, Piotr and Karis, Klas and Lamov, Andrej and Nikolov, Andriy and Nilsson, Sebastian and Ughetto, Michael and Wang, Yu and Derr, Tyler and Gyori, Benjamin M},
          month = {feb},
          title = {{ChemicalX: A Deep Learning Library for Drug Pair Scoring}},
          url = {http://arxiv.org/abs/2202.05240},
          year = {2022}
}

Package Reference

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