Diffusion-Based Protein Sequence Generation Model Using Language Model Embeddings
The author introduces DiMA, a model that leverages continuous diffusion on embeddings derived from the protein language model to generate amino acid sequences, surpassing leading solutions in terms of quality and diversity.
