Summer 2026 Workshop Registrations Now Open

Two exciting week-long workshops this summer are now accepting applications. On July 20 – 24, 2026, the ML & Rosetta Intro Bootcamp will be held at John Hopkins University in Baltimore, Maryland. The bootcamp will be a blend of lectures and hands-on projects to introduce and then practice key concepts and skills with machine learning…

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Speed Up PyRosetta Development with Autocompletion and Type Checking

By Harrison Truscott PyRosetta, the Python interface to the Rosetta binary, now comes packaged with type stub files (.pyi). These files describe the module’s classes, methods, and variables, as well as function signatures, types of function parameters and return values, and descriptive docstrings. Type stub files can be used by the Integrated Development Environment (IDE)…

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A Zero-Shot Approach to de novo Metalloenzyme Design

Key Takeaways: dEVA (design by EVolutionary Algorithm) is a framework that achieves the zero-shot design of a highly efficient metalloenzyme without any reliance on natural templates. Design objectives were tailored to the specific chemistry of metalloenzymes, in particular catalytic zinc sites, and from only three experimentally-tested designs found desB, the most efficient de novo designed…

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Immunogen Design Workshop Hosted by the Meiler Lab Cultivated Collaborations

On April 13 – 15, 2026, fifteen participants from as far away as South Korea gathered at Vanderbilt University to learn about the Rosetta software suite. Attendees were a blend of industry, university, and non-profit affiliates at career levels from graduate students to principal investigators. The “Computationally Guided Immunogen Design with Rosetta and ML Tools”…

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Deep Learning’s Impact on de novo Protein Design

Key Takeaways: With advancements in AI, the field of protein engineering has shifted from template-based approaches to de novo designs with approaches including seed-based design, deep generative models, and binder hallucination. Design towards specific protein functions is the current frontier factoring in parameters including neosurfaces, conditional binding with biological stimuli, and dynamic modeling, linking deep…

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Next Generation Generative Model Unlocks de novo Designs at Scale

Key Takeaways: NVIDIA’s new Proteina-Complexa model combines generative AI with inference-time search algorithms to operate 30-60x faster than RFdiffusion when designing custom proteins that target specific diseases. In a test to find binders for 127 different targets from over 1 million protein designs, the model successfully found binders for 68% of the targets. The model…

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ML Protein Design Bootcamp Now Available on YouTube

Hosted in November 2025 by the University of California Davis, this course provides a practical, beginner-friendly overview of modern AI/ML tools for protein structure prediction and design, including AlphaFold, ESMFold, ProteinMPNN, and RFdiffusion, along with the workflows that connect them. This is a relatively novice-level course. The curriculum is focused on understanding and using existing…

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Let’s Get Social: New Ways to Connect with @RosettaCommons

Rosetta Commons is a community based on sharing scientific discoveries and fostering collaborations to advance our understanding of protein design and modeling. In order to stay connected with the community, we are introducing a refresh of three of our social media channels and one new channel! Just click on the links below to go to…

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RFD3 Tutorials Are Here!

We’re excited to announce that three introductory tutorials for RFdiffusion3 (RFD3) are now available in the Foundry documentation! Whether you’re just starting with RFD3 or looking to refine your design workflows, these tutorials guide you step-by-step through creating new protein structures for your design projects. What’s covered?  Each tutorial focuses on a common design challenge:…

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Megathon 2026: One week, Two Hackathons, 10 Tutorials, and 16 Curated Datasets

Against a backdrop of blue skies, green palm trees, and white sandy beaches, Megathon 2026 became Rosetta Commons’s first ever dual hackathon in one. Hosted in San Juan, Puerto Rico, students and researchers gathered to participate in one of two tracks, Tutorial Hackathon or Data Bazaar Hackathon, for a week of collaboration and learning on…

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