The Rosetta software suite includes algorithms for computational modeling and analysis of protein structures. It has enabled notable scientific advances in computational biology, including de novo protein design, enzyme design, ligand docking, and structure prediction of biological macromolecules and macromolecular complexes.
Rosetta is available to all non-commercial users for free and to commercial users for a fee. License Rosetta to get started.
Rosetta development began in the laboratory of Dr. David Baker at the University of Washington as a structure prediction tool but since then has been adapted to solve common computational macromolecular problems.
Development of Rosetta has moved beyond the University of Washington into the members of RosettaCommons, which include government laboratories, institutes, research centers, and partner corporations.
The Rosetta community has many goals for the software, such as:
- Understanding macromolecular interactions
- Designing custom molecules
- Developing efficient ways to search conformation and sequence space
- Finding a broadly useful energy functions for various biomolecular representations