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Polypharmacy side-effect prediction with enhanced interpretability based on graph feature attention network

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0 Published in 2021 at "Bioinformatics"

DOI: 10.1093/bioinformatics/btab174

Abstract: MOTIVATION Polypharmacy side effects should be carefully considered for new drug development. However, considering all the complex drug-drug interactions that cause polypharma-cy side effects is challenging. Recently, graph neural network (GNN) models have handled these… read more here.

Keywords: network; effect prediction; polypharmacy side; prediction ... See more keywords