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Miniaturizing and modifying natural proteins with Raygun

Nature Bioinformatics AI Kapil Devkota, Daichi Shonai, Joey Mao, Young Su Ko, Wei Wang, Scott Soderling, Rohit Singh 2026-07-29

TL;DR - Raygun is a generative AI framework that uses probabilistic sequence encodings derived from language-model embeddings to redesign natural proteins. It enables protein miniaturization, modification, and augmentation while preserving native structure and function.

  • Applies language-model embeddings to probabilistic protein sequence generation.
  • Supports multiple redesign operations, including shrinking and augmenting proteins.
  • Prioritizes retention of native architecture and functional integrity.
  • The provided abstract does not include quantitative performance results.

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