Graph Neural Networks for Drug-Target Interaction

Bioinformatics › AI Network Bioinformatics Research

Graph Neural Networks for Drug-Target Interaction

Interns will develop graph-based machine learning models to predict interactions between drug compounds and protein targets. This involves representing molecular structures as graphs and applying GNN architectures to classify binding affinities and interaction patterns.

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