Proximity Graph Networks: Predicting Ligand Affinity with Message Passing Neural Networks

Message passing neural networks (MPNNs) on molecular graphs generate continuous and differentiable encodings of small molecules with state-of-the-art performance on protein–ligand complex scoring tasks. Here, we describe the proximity graph network (PGN) package, an open-source toolkit that construc...

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