Molecular render representing RoseTTAFold2

RoseTTAFold2

Fast, accurate structure prediction with 3-track networks

RoseTTAFold2 uses a three-track network that jointly reasons over sequences, pairwise distances and coordinates to predict monomer and complex structures. It accepts single or paired MSAs and handles flexible multidomain proteins well. Predictions include per-residue confidence estimates for filtering low-quality regions.

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At a glance

Input
Sequences with MSAs (FASTA, A3M)
Output
Predicted complex (PDB)
Developed by
Baker Lab, UW
Published
Baek et al., 2024 · 2024
#deep-learning#msa#complexes