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

Features include relatively fast and accurate deep learning based method, RoseTTAFold, 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, 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.

PDB templates last updated June 14 2024

Jobs queued: 0 active: 488

Users: 68196 Countries: 233 New users last week: 218 New jobs last week: 1280 New final models last week: 5682

Last updated May 15 2025 22:00