BioinformaticsbioRxivPreprint
Protein-protein docking using learned three-dimensional representations
Georgy Derevyanko, Guillaume Lamoureux
The paper introduces a deep learning model for protein-protein docking that uses 3D representations to predict interaction scores based on atomic densities and spatial arrangements.
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