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Designing proteins that know when to let go
In biology, timing is everything. From a neuron firing at the right moment to an immune signal fading at just the right pace, the speed…
Read MoreA new generation of vaccines: Combining design and delivery
In the wake of the COVID-19 pandemic, two vaccine technologies stood out – mRNA vaccines like those from Pfizer and Moderna, and protein nanoparticle vaccines…
Read MoreRosetta + Cursor: Simplifying Protein Design with AI Assistance
The Rosetta MCP Server project, created by Ariel J. Ben-Sasson, is a powerful tool that will make it easier to use Rosetta, RosettaScripts, and PyRosetta…
Read MoreOne-shot design of functional protein binders with BindCraft
Read more: https://www.nature.com/articles/s41586-025-09429-6 Authors: Martin Pacesa, Lennart Nickel, Christian Schellhaas, Joseph Schmidt, Ekaterina Pyatova, Lucas Kissling, Patrick Barendse, Jagrity Choudhury, Srajan Kapoor, Ana Alcaraz-Serna, Yehlin…
Read MoreRoland Dunbrack Receives ASBMB DeLano Award
Rosetta Commons is delighted to celebrate Roland L. Dunbrack, Jr., recipient of the ASBMB DeLano Award for Computational Biosciences. This award honors scientists whose computational…
Read MoreSummer RosettaCon 2025 Recap
From August 4 to 8, 2025, the Rosetta community gathered at Suncadia Resort near Seattle, Washington, for Summer RosettaCon 2025. The conference hosted 313 in-person…
Read MoreEvaluation of De Novo Deep Learning Models on the Protein-Sugar Interactome
Paper by: Samuel W. Canner, Lei Lu, Sho S. Takeshita, Jeffrey J. Gray Read more on bioRxiv This study builds the first benchmark for testing…
Read MoreRosetta 3.15 Release Highlights
The newest version of Rosetta is now available for download: Download Rosetta 3.15. In addition to general improvements, Rosetta 3.15 introduces several new protocols focused…
Read MoreAtomWorks & RosettaFold3 (in ModelForge) now open-source on GitHub
We’re excited to share that two major repositories are live on the RosettaCommons GitHub: AtomWorks and ModelForge. AtomWorks is a broadly applicable data framework for…
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