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Recently, 3D generative models have shown promising performances in structure-based drug design by learning to generate ligands given target binding sites.
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Structure-based drug design with equivariant diffusion models
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Learning subpocket prototypes for generalizable structure-based drug design
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Structure-based drug design via 3d molecular generative pre-training and sampling
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