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Predicting Drug Interactions with EmerGNN by Khang Nguyễn Hoàng is a document available to read on EtoBox.
What is Predicting Drug Interactions with EmerGNN about?
The paper introduces EmerGNN, a graph neural network designed to predict drug-drug interactions (DDIs) for emerging drugs by utilizing biomedical networks. EmerGNN effectively learns pairwise drug representations by extracting relevant paths and incorporating biomedical concepts, outperforming existing methods in accuracy and interpretability. The approach aims to enhance patient care and streamline drug development processes by addressing the challenges posed by limited interaction data for new drugs.
- Author
- Khang Nguyễn Hoàng
- Language
- EN