Atom-level machine learning of protein-glycan interactions and cross-chiral recognition in glycobiology
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We describe a machine-learned (ML) model, MCNet, which predicts interactions between proteins and glycans. MCNet predicted quantitative interactions between glycan-binding proteins (GBPs) and enantiomers of common glycans, which were not part of the original t... ...
