Robetta is a protein structure prediction service that is continually evaluated through CAMEO

Features include relatively fast and accurate deep learning based methods, RoseTTAFold and TrRosetta, and an interactive submission interface that allows custom sequence alignments for homology modeling, constraints, local fragments, and more. It can model multi-chain complexes using RoseTTAFold (user must provide paired MSA) or comparative modeling (CM) and provides the option for large scale sampling. The CM method uses the PDB100 template database, which is updated weekly, a co-evolution based model database (MDB), and also provides the option for custom templates. Computing resources are provided by the Baker lab, HHMI's Janelia Research Campus, and by volunteers from the distributed computing project Rosetta@home. You can help this service by joining Rosetta@home.

For more information please visit our Frequently Asked Questions.

Any feedback to help improve this service is greatly appreciated. You can submit feedback and bug reports using the form on our contact page.

Recent alerts and bug fixes:

PDB templates last updated February 08 2024

Jobs queued: 0 active: 108
Users: 57107 Countries: 233 New users last week: 146 New jobs last week: 1252 New final models last week: 5598
Last updated February 25 2024 08:00



Baker Lab | Rosetta@home | Contact | Terms of Service
©2024 University of Washington