(a) Protein sequence-structure co-design with PocketGen; (b) Dual-layer graph Transformer encoder; (c) Pre-trained protein language model for sequence prediction and efficient fine-tuning. Researchers ...

“By combining biophysics-based representations of protein structure with diffusion methods from the image generation space, we can begin to address this problem.” The new system, which the researchers ...

A new artificial intelligence model developed by USC researchers and published in Nature Methods can predict how different proteins may bind to DNA with accuracy across different types of protein, a ...