Latest News
Bridging Borders in Protein Design in Latin America – The AI4PD Workshop in Patagonia
Puerto Varas, Chile — in November, the stunning landscapes of Chilean Patagonia, including the Llanquihue lake and the Osorno and Calbuco volcanoes, served as the…
RFAntibody creates epitope-specific antibody binders with atomic-level agreement
Designing antibodies that bind a specific epitope normally requires immunization or screening millions of variants. Traditional workflows take months and often miss therapeutically relevant binding…
Neil King named Deputy Director of UW’s Institute for Protein Design
The Institute for Protein Design (IPD) at the University of Washington has announced new leadership updates. Neil King, an Associate Professor in the Department of…
RFDpoly for design of RNA, DNA, and biopolymers is now available on GitHub
RFDpoly is a generative diffusion framework for the design of de novo biopolymers such as DNA, RNA, proteins, and mixed assemblies. Building on RFdiffusion, it…
Two Rosetta community talks now live on TED
Two talks from our community — one by César Ramírez‑Sarmiento and one by Chris Bahl — are now live on the TED platform. 1. César…
Congratulations to Tanja Kortemme on her NIH Award on biological error correction
We’re excited to share that Tanja Kortemme has received a major NIH award for her project “De novo design and engineering of biological error correction.”…
Announcing the 2025–2027 Rosetta Commons Executive Board
We are pleased to share the results of the recent Rosetta Commons Executive Board election for the 2025–2027 term. Thank you to everyone in the…
RoseTTAFold2-PPI: Predicting Protein Interactions with AI
Researchers at Qian Cong’s Lab have released RoseTTAFold2-PPI, a deep-learning model designed to predict how proteins interact with each other. Built on the RoseTTAFold2 architecture,…
De-novo design of a random protein walker
Can we make complex protein machines from scratch? We used Rossetta to design a random protein walker that moves along a designed protein track. For…
