A protein-design model aims to turn natural-language instructions into structures

A researcher describes a year-long collaboration that produced a model they say turns natural-language instructions into corresponding protein structures. They contrast it with existing protein-design models, which they say are limited in what inputs can guide their output. They liken the difference to image generation controlled by class labels versus natural-language prompts, and say the model is more effective at targeting particular protein forms and functions.