ML for protein engineering is incredibly fascinating — and pretty much all of it, including RFdiffusion is built on structure prediction models.
This series of talks by Nazim Bouatta is exceptional, helped me appreciate and make sense of these models. Incredible how you can engineer neural nets to learn with way lesser data when you incorporate the right inductive biases: https://youtube.com/playlist?list=PL0NRmB0fnLJQPDZh-6utVnRpF...
