← Back to Projects
🧪

Rosetta@home

Active Biology & Medicine CPU Since 2005
https://boinc.bakerlab.org/rosetta/ ↗

Rosetta@home is a volunteer computing project run by the Institute for Protein Design at the University of Washington, founded by Professor David Baker. The project harnesses distributed computing to tackle one of biology's grand challenges: predicting how a protein's amino acid sequence determines its three-dimensional structure, and — even more ambitiously — designing entirely new proteins that do not exist in nature.

The Rosetta software suite at the heart of this project uses physics-based energy functions combined with sophisticated sampling algorithms to explore the astronomical number of possible protein conformations. For a typical protein of 100 amino acids, the number of theoretically possible conformations exceeds the number of atoms in the observable universe. Rosetta navigates this space by combining knowledge of known protein structures with Monte Carlo sampling techniques, scoring each candidate structure against a detailed energy function that accounts for van der Waals forces, hydrogen bonds, electrostatics, and solvation effects.

In 2020, when COVID-19 struck, the Baker Lab used Rosetta@home to design miniproteins that bind tightly to the SARS-CoV-2 spike protein's receptor-binding domain, potentially blocking the virus from infecting cells. These computationally designed binders demonstrated remarkable specificity and were validated experimentally, showcasing the real-world medical potential of de novo protein design.

David Baker was awarded the 2024 Nobel Prize in Chemistry (shared with Demis Hassabis and John Jumper of DeepMind) for computational protein design. The Rosetta software, powered in significant part by volunteer computing through Rosetta@home, was instrumental in Baker's decades of groundbreaking work. The project also inspired Foldit, a citizen science game where players compete to fold proteins, contributing real scientific results through gamified research.

Rosetta@home continues to run new protein design and structure prediction tasks, contributing to efforts in vaccine development, enzyme engineering, and therapeutic protein design.