Cheminformatics

Research Frontiers in Binding Affinity Prediction via Equivariant Neural Networks

Development and application of equivariant neural network architectures that respect molecular symmetries and 3D geometric constraints for accurate prediction of protein-ligand binding affinities without explicit pose generation.

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