🧬 🤗 Nvidia just released a new protein design model, RFD4-Proteina, on @huggingface! RFD4-Proteina has a thinking setting (like an LLM). At high thinking, it produces 76.40 usable designs per GPU-hour on a benchmark of 24 binding targets, where the next best method managed 13.2. You can design protein sequences and all-atom structures together, conditioned on the molecular context you want to preserve: a binding target, an enzyme motif, a ligand, or selected structural features. Thanks @nvidia and University of Washington's Institute for Protein Design for making the model open source and available on the Hub! 🧬 Try the model on the demo space: huggingface.co/spaces/nvidia… 🤗 Model: huggingface.co/nvidia/RFD4-P… 📖 Blog post: huggingface.co/blog/nvidia/r…