Rosetta Software

• While much traditional protein modeling software takes a pure first-principles approach using deep expert knowledge of physics and chemistry, and modern AI tools often take a model-free approach based entirely on data, the Rosetta software package takes a combined approach based on physics and on statistical patterns. This combination, along with a relentless focus on the prediction of experimental characteristics and benchmarking to wet lab data, has made Rosetta uniquely useful for protein design in the lab.
• Rosetta has been responsible for all of the major “firsts” in computational protein design, including protein binder design, de novo protein design, and macromolecular assembly design.
• There are thousands of published papers on protein design using Rosetta that demonstrate a wide range of capabilities in the laboratory.
• Rosetta software is making an active impact on drug discovery: As of 2021, multiple clinical stage protein biologics, a half dozen IND stage molecules and over a dozen pre-clinical stage biologics have been developed.