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Article
Open AccessSmall molecule drug and biotech drug interaction prediction based on multi-modal representation learning
Drug–drug interactions (DDIs) occur when two or more drugs are taken simultaneously or successively. Early detection of adverse drug interactions can be essential in preventing medical errors and reducing heal...
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Article
TP-DDI: A Two-Pathway Deep Neural Network for Drug–Drug Interaction Prediction
Adverse drug–drug interactions (DDIs) can severely damage the body. Thus, it is essential to accurately predict DDIs. DDIs are complex processes in which many factors can cause interactions. Rather than merely...
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Chapter and Conference Paper
A Deep Learning Approach Based on Feature Reconstruction and Multi-dimensional Attention Mechanism for Drug-Drug Interaction Prediction
Drug-drug interactions occur when two or more drugs are taken simultaneously or successively. Early discovery of drug-drug interactions can effectively prevent medical accidents and reduce medical costs. There...
