For the difference between target structures and AlphaFold2-predicted structures ( Fig 4 ), only RosettaFixBB and ProteinMPNN has highly significant worse performance on GDT-TS and TM-score, and RMSD from PiFold, SPIN-CGNN, and OSCAR-design.
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SPIN-CGNN: Improved fixed backbone protein design with contact map-based graph construction and contact graph neural network.
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