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Hugging Face guides protein design with RFD4-Proteina, with temporary NVIDIA-sponsored access

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Hugging Face published a guide to designing proteins with RFD4-Proteina through Spaces and command-line, Python, or Diffusers workflows, with NVIDIA sponsoring free access to the dedicated Space from October 21 through November 4, 2026. After that window closes, the dedicated Space stops being free; the separate ZeroGPU Space remains free on shared capacity, subject to Hugging Face account quotas. Co-developed by NVIDIA and the University of Washington’s Institute for Protein Design, the open model generates protein sequences and all-atom structures together under user-supplied constraints. The guide uses a PD-L1 binder example to explain hotspot annotations, thinking settings, and reproducible workflows. Generating a design does not establish that it binds its target: the guide says experimental validation is needed to confirm binding.

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Latest development10/21 20:39 (UTC+8)
Protein Design with RFD4-Proteina and Hugging Face SpacesHugging Face Blog

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10/21
  1. Hugging Face BlogPicks
    Protein Design with RFD4-Proteina and Hugging Face Spaces

    This guide shows how to generate protein designs with RFD4-Proteina in Hugging Face Spaces and continue the workflow through the command line, Python, or Diffusers. Co-developed by NVIDIA and the University of Washington's Institute for Protein Design, the open model generates protein sequences and all-atom structures together under supplied constraints. The guide covers hotspot annotations, thinking settings, and reproducibility using a PD-L1 binder example; experimental validation is needed to confirm binding.

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