Score matching and flow matching can generate protein backbones that resemble natural family members across computational checks, yet the validation is partly against the training data and no wet-lab results are provided.
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Challenges and Guidelines in Deep Generative Protein Design: Four Case Studies
Score matching and flow matching can generate protein backbones that resemble natural family members across computational checks, yet the validation is partly against the training data and no wet-lab results are provided.