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 October 28 2021

Jobs queued: 0 active: 92
Users: 25536 Countries: 192 New users last week: 246 New jobs last week: 2446 New final models last week: 11378
Last updated October 28 2021 11:00



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