Advancements in Protein Engineering
Nathan Benaich discusses the exciting developments in the application of diffusion models to protein engineering, including unsupervised pretraining across protein sequences and specific protein design for genome editor therapies. He also explores the potential of multimodality in the AI Bioworld, combining protein data, DNA data, and sequencing images for a more holistic understanding of biology.In this clip
From this podcast
The Gradient
2023 in AI, with Nathan Benaich
Related Questions
What's your opinion on using large language models (LLMs) for scientific research, especially for generating new ideas for hypotheses, as discussed in the episode 2023 in AI, with Nathan Benaich and the clip Advancing Open Source?
What are the limits of biology as discussed in the episode Accelerating drug discovery with AI: Insights from Isomorphic Labs and the clip Drug Space Constraints?