E(3)-equivariant Graph Neural Network
PulseAugur coverage of E(3)-equivariant Graph Neural Network — every cluster mentioning E(3)-equivariant Graph Neural Network across labs, papers, and developer communities, ranked by signal.
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New framework offers guaranteed SPD uncertainty for tensor-valued geometric learning
Researchers have developed a new framework for uncertainty quantification in tensor-valued geometric learning, specifically addressing the prediction of symmetric rank-2 tensors. This method ensures positive-definite co…
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EquiPocket: E(3)-equivariant GNN advances protein binding site prediction
A research paper introduced EquiPocket, an E(3)-equivariant Graph Neural Network designed for predicting protein binding sites, a crucial step in drug discovery. Unlike traditional 3D CNN methods that struggle with irre…
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New Transformer Backbone Enhances Scalable Peptide Design
Researchers have developed MEET (Memory Efficient Equivariant Transformer), a new E(3) equivariant backbone designed for scalable atomistic peptide modeling. This framework maintains invariant scalar and equivariant vec…
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New Transformer Backbone Enhances Scalable Peptide Design
Researchers have developed MEET (Memory Efficient Equivariant Transformer), a new E(3) equivariant backbone designed for scalable atomistic peptide modeling. This framework addresses the challenge of co-designing peptid…
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AI Designs Novel D-Peptide Binders with Wet-Lab Validation
Researchers have developed a novel generative AI approach to design D-peptide binders for L-proteins, a class of molecules with significant therapeutic potential. By incorporating axial features into an E(3)-equivariant…