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Miniaturizing and modifying natural proteins with Raygun | Nature

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Probabilistic sequence encoding from language model embeddings within a generative AI framework enables protein miniaturization, modification and augmentation while maintaining native architecture and functional integrity.

Download PDF Abstract Proteins have evolved over billions of years through coordinated substitutions, insertions and deletions, yet computational protein design cannot fully replicate nature’s ability to engineer new proteins from existing templates. Protein language models 1 , 2 , 3 generate informative per-residue representations, but harnessing them for large-scale, function-preserving sequence modifications has remained beyond reach. Here we introduce Raygun, a generative artificial intelligence framework that enables miniaturization, modification and augmentation of proteins, using a prob

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