Science, Connection, and Community: Summer RosettaCon 2026 Recap

Featured image is a group photo of Summer RosettaCon 2026 in-person attendees. With over 600 in-person and virtual attendees, 56 scientific talks, nearly 200 posters, 16 breakout sessions, 5 keynotes, 4 career panels, 3 tutorials, and countless networking opportunities, Summer RosettaCon 2026 was our largest event to date. Hosted for the first time at the…

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Two-phase computational pipeline yields high-affinity de novo BMP-2 binders for bone regeneration

Key Takeaways By combining Rosetta-based motif grafting with deep-learning tools like RFdiffusion, ProteinMPNN, and AlphaFold2, a two-phase approach successfully generated functional binders where Rosetta-based docking and scoring alone failed. The lead binder, BB5523, demonstrated high affinity and specificity with an apparent KD of 2.07 nM for BMP-2, backed by mutational analysis confirming T42 as a…

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De Novo Protein Design Overcomes Gene Editing Limits to Sustain CAR-T and TCR-T Cell Function

Key Takeaways De novo designed proteins bind and modulate entire target families simultaneously, bypassing the translational hurdles of multi-allele gene editing. The OUTLAST Regulator platform employs three distinct functional strategies, Designed Degraders, Transcription Factor Modulators, and Common Substrate Modulators, to rewire complex cell fate decisions. Pan-NR4A OUTLAST Regulators significantly enhance CAR-T and TCR-T cell functional…

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New OpenBind-0 model and dataset benchmark co-folding tools in drug discovery

Key Takeaways OpenBind-0 (OB0) is a fully open-source co-folding model built on OpenFold3, trained on Protein Data Bank (PDB) data, and optimized for predicting protein–small-molecule complexes. Alongside the model, a discovery-relevant benchmark dataset of 717 new ligand-bound structures capturing fragment-to-hit progression across FatA and RdRp targets was released. Evaluation across targets shows wide performance variability,…

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Integrating Mass Spectrometry Restraints into Rosetta and AlphaFold Modeling Pipelines

Key Takeaways Integrating mass spectrometry data with computational modeling platforms like Rosetta and AlphaFold2 improves the accuracy of protein structure and complex predictions. Experimental data from techniques such as covalent labeling, ion mobility, and surface-induced dissociation help distinguish native-like protein conformations from inaccurate computational outputs. A new set of tutorials and updated PyRosetta implementations make…

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Motivated Trainees and Tutors Shine at FEBS Advanced Practical Course

On April 19-24, 2026, 36 international participants gathered in Blankenberge, Belgium, for the FEBS Advanced Practical Course: Generative AI for Protein Engineering. The course, supported by Rosetta Commons, offered an introduction to protein design, combining theoretical lectures, tool-specific tutorials, and a hands-on project, with a focus on Rosetta Commons tools. Participants were able to work…

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