Protein complex prediction with AlphaFold-Multimer
Richard Evans, Michael O’Neill, Alexander Pritzel, Natasha Antropova, Andrew Senior, Tim Green, Augustin Žídek, Russ Bates, Sam Blackwell, Jason Yim, Olaf Ronneberger, Sebastian W. Bodenstein, Michal Zielinski, Alex Bridgland, Anna Potapenko, , Demis Hassabis
AlphaFold trained on complexes, with cross-chain paired alignments and symmetry-aware losses, gets 70% of recent heteromeric interfaces acceptable or better (DockQ ≥ 0.23), 27 points above linker-joined AlphaFold.
bioRxiv · Oct 4, 2021 · PreprintBioinformatics✦ In-depth digest