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

Features include a relatively fast and accurate deep learning based method, 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 comparative modeling and provides the option for large scale sampling. It 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 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 June 19 2021

Jobs queued: 390 active: 115
Users: 16178 Countries: 186 New users last week: 315 New jobs last week: 2484
New final models last week: 12567 Total models sampled last week: 16526969
Last updated June 23 2021 20:00



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