Atomic functional site scaffolding in biopolymers with RFdiffusion3

The catalytic and other sophisticated functions of biomolecules arise from the placement of many atoms in three-dimensional space. Here, we describe a generative artificial intelligence method for biopolymers, RFdiffusion3 (RFD3), which employs free atom diffusion to satisfy complex sets of atomic constraints more rapidly and accurately than previous methods across several challenges from enzyme design to RNA structure design. We demonstrate experimentally the power of the RFD3 pipeline for enzyme design by designing de novo phosphotriesterases with a complex active site architecture incorporating a carbamylated lysine coordinating two metal ions and zinc proteases specific for the transthyretin protein involved in amyloid diseases; in both cases we obtain active catalysts in zero shot 96 construct design campaigns.

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Publication Details

Journal
Science
Published
2026-10-15
DOI
https://doi.org/10.1126/science.aeh2982
Primary Topic
Protein Structure and Dynamics
Type
article
Field-Weighted Citation Impact
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article

Atomic functional site scaffolding in biopolymers with RFdiffusion3

Brian Coventry, Yuliya Politanska, Jonathan Funk, Raktim Mitra et al.
Science
Protein Structure and Dynamics
article

Atomic functional site scaffolding in biopolymers with RFdiffusion3

Brian Coventry, Yuliya Politanska, Jonathan Funk, Raktim Mitra, An‐Qi Chen, Rohith Krishna, Helen E. Eisenach, Simon V. Mathis, Kieran Didi, Jie Chen, David A. Baker, Andrew Favor, Paul T. Kim, Rafael I. Brent, Florence J. Hardy, Seth M. Woodbury, Enisha Sehgal, Lars L. Schaaf, Andrew Kubaney, Kejia Wu, Frank DiMaio, Bo Qiang, Odin Zhang, Nathaniel Corley, Saman Salike, Antonia Ruder, Maxwell W. Kazman, Aiko Muraishi, Yanjing Li, Jasper Butcher, Donghyo Kim, Tuscan Rock Thompson, Gabriela Bastidas Reinoso
article en

Abstract

The catalytic and other sophisticated functions of biomolecules arise from the placement of many atoms in three-dimensional space. Here, we describe a generative artificial intelligence method for biopolymers, RFdiffusion3 (RFD3), which employs free atom diffusion to satisfy complex sets of atomic constraints more rapidly and accurately than previous methods across several challenges from enzyme design to RNA structure design. We demonstrate experimentally the power of the RFD3 pipeline for enzyme design by designing de novo phosphotriesterases with a complex active site architecture incorporating a carbamylated lysine coordinating two metal ions and zinc proteases specific for the transthyretin protein involved in amyloid diseases; in both cases we obtain active catalysts in zero shot 96 construct design campaigns.

Science
Howard Hughes Medical Institute (US), University of Washington (US), University of Cambridge (GB), Novo Nordisk Foundation (DK), ETH Zurich (CH), University of Oxford (GB), Nvidia (United States) (US), Technical University of Denmark (DK)
Openalex Percentile: Top 24%
Protein Structure and Dynamics
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