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AI CURATED HOT STORY · 10/19/2026

RFdiffusion3 Achieves Atomic-Level Protein Design Validated in Science

1 reports archived1 independent sourcesupdated 10/19/2026, 07:22:56
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The University of Washington and NVIDIA team published RFdiffusion3 in Science, enabling atomic-level modeling of amino acid coordinates to design functional proteins. Experimental validation confirms that enzymes designed by the system exhibit expected catalytic activity in real reactions, with generation speed approximately ten times faster than previous versions.

LATEST/The University of Washington and NVIDIA team published RFdiffusion3 in Science, enabling atomic-level modeling of amino acid coordinates to design functional proteins. Experimental validation confirms that enzymes designed by the system exhibit expected catalytic activity in real reactions, with generation speed approximately ten times faster than previous versions.

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Total 1 reports · Latest first
  1. IT之家 · 智能时代T2·86 pts
    • RFdiffusion3 utilizes an architecture similar to AlphaFold3, allowing direct adjustment of up to 14 atomic coordinates per amino acid for precise design.
    • The system supports constraints beyond atomic positions, including hydrogen bonding conditions and spatial distribution, enabling accurate enzyme active site engineering.
    • Outperformed RFdiffusion2 in 37 out of 41 tests; designed enzymes like paraoxonase successfully demonstrated expected catalytic functions in experimental settings.
RFdiffusion3 Achieves Atomic-Level Protein Design Validated in Science | Today for AI