RFdiffusion A generative model for protein design RoseTTAFold Diffusion is a guided diffusion model that can be used to generate protein structures in seconds. As reported in Nature, it excels at producing protein monomers, oligomers, binders, and more. With prior methods, thousands of designs may have to be tested in the lab before finding a single one that performs as intended. Using RFdiffusion, we find that as little as one protein per design challenge must be tested. To create RFdiffusion, our scientists drew inspiration from AI image generation tools like DALL-E. It was trained to iteratively remove noise from clouds of disconnected atoms, rearranging them into novel protein backbones. diffusion_animation_C6_black.gif https://www.ipd.uw.edu/software/ ============================================================================== EvoDiff combines evolutionary-scale data with diffusion models for controllable protein sequence generation. In addition to generating plausible proteins, we can scaffold structural motifs in sequence space! Preprint: https://biorxiv.org/cgi/content/short/2023.09.11.556673v1 Code: https://github.com/microsoft/evodiff F56KQNzXYAEtMuL.mp4 ============================================================================== Protein generation with evolutionary diffusion: sequence is all you need https://www.youtube.com/watch?v=e1e-_SkyNjw https://www.biorxiv.org/content/10.1101/2023.09.11.556673v1 ============================================================================== RFDiffusion: Accurate protein design using structure prediction and diffusion generative models https://www.youtube.com/watch?v=wIHwHDt2NoI RFdiffusion https://www.youtube.com/watch?v=828WPIIOwaA. https://sbgrid.org/software/titles/rfdiffusion https://github.com/RosettaCommons/RFdiffusion. ============================================================================== AlphaFold Server Demo - Google DeepMind https://www.youtube.com/watch?v=9ufplEgtq8w https://golgi.sandbox.google.com/about Limit 10 (20) jobs per day.