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Accurately predicting drug-drug interactions (DDI) for emerging drugs, which offer possibilities for treating and alleviating diseases, with computational methods can improve patient care and contribute to efficient drug development.
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Hundreds of COVID trials could provide a deluge of new drugs
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A biomedical knowledge graph-based method for drug-drug interactions prediction through combining local and global features with deep neural networks
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