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Tag: inverse-folding/training
10 items with this tag.
Apr 21, 2026
Ab-Ag inverse folding methods benefit from pretraining
inverse-folding/training
antibody-antigen-interactions/complex-prediction
Apr 21, 2026
Using evolutionary information for label smoothing during inverse folding training leads to improved fitness prediction
inverse-folding/training
Apr 21, 2026
Ab finetuning improves naturalness of inverse folding designs
inverse-folding/training
Apr 21, 2026
Adding noise while training non-Ab inverse folding models improves self-consistency while worsening sequence recovery
inverse-folding/training
protein-backbone-design/designability
Apr 21, 2026
Including ligands restrains design of catalytically active residues
inverse-folding/training
Apr 21, 2026
Including structure prediction confidence while training inverse folding improves sequence diversity but not sequence recovery
inverse-folding/training
tm-score
plddt
Apr 21, 2026
Inverse folding models trained on all proteins generate sequences that are equally thermostable as those generated by models trained only on thermophilic proteins
inverse-folding/training
thermostability/design
Apr 21, 2026
ML models trained exclusively on experimental structures are less effective on computational models
inverse-folding/training
protein-language-models/training
Apr 21, 2026
Reinforcement learning outperforms fine-tuning in property-guided inverse folding
inverse-folding/training
tm-score
plddt
Apr 21, 2026
Hybrid protein sequence-structure ML models rely more on sequence when many homologs were available during training
protein-language-models/training
inverse-folding/training