A residue-level preference optimization method that uses AlphaFold pLDDT scores as rewards triples the in silico design success rate of LigandMPNN on enzyme benchmarks.
Rotamer-free protein sequence design based on deep learning and self-consistency.Nature Computational Science, 2(7):451–462, July 2022
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Improving Protein Sequence Design through Designability Preference Optimization
A residue-level preference optimization method that uses AlphaFold pLDDT scores as rewards triples the in silico design success rate of LigandMPNN on enzyme benchmarks.