A bundle of deep-learning packages for biomolecular structure prediction and design contributed to the Rosetta Commons.
The packages listed below are provided by contributors to the Rosetta Commons for free for non-commercial use under the Rosetta-DL Non-Commercial Licensing Agreement or a more permissive license.
For commercial licensing of this bundle, please contact the University of Washington CoMotion (license@uw.edu), which manages these packages on behalf of the Rosetta Commons member institutions. Licensing revenue supports the Rosetta Commons research community by funding conferences, workshops, summer interns and post-baccalaureate scholars, mini-grants, user support, documentation and code infrastructure and testing.
- RoseTTAFold - Protein folding - Code uses MIT license, data and weights use Rosetta-DL license
- DeepAb - Antibody structure prediction - Code, data, and weights use Rosetta-DL license
- MaSIF - Molecular surface interaction fingerprints - MIT license
- trRosetta2 - Protein folding by Baker lab in CASP14 - MIT license
- Protein-Seq-Des - Protein sequence design from a learned potential - BSD3 license
- FvHallucinator - Hallucination of antibody structures - Rosetta-DL license