Revolutionizing Protein Engineering with Generative Models

The article "Generative models for protein structures and sequences" in Nature Biotechnology by Hsu, Fannjiang, and Listgarten, highlights the transformative potential of generative models in protein engineering. These models, akin to those used for text and image generation like ChatGPT and DALL-E2, are paving the way for innovative approaches in designing protein structures and sequences. Despite the diverse data and objectives, the article underscores the significant implications these models have for advancing protein engineering, offering insights into their applicability and the challenges ahead.