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Drug interactions

Predicting emerging drug interactions using GNNs

EmerGNN is a flow-based graph neural network (GNN) approach that advances on conventional methodologies for predicting drug–drug interactions in emerging drugs by effectively leveraging biomedical networks.

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Fig. 1: Drug–drug interaction (DDI) prediction architecture using graph neural networks (GNNs).

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Correspondence to Nguyen Quoc Khanh Le.

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Le, N.Q.K. Predicting emerging drug interactions using GNNs. Nat Comput Sci 3, 1007–1008 (2023). https://doi.org/10.1038/s43588-023-00555-7

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